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Xu S, Yang R, Yang Y, Zhang Y. Shape-morphing bioelectronic devices. MATERIALS HORIZONS 2025. [PMID: 40391509 DOI: 10.1039/d5mh00453e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2025]
Abstract
Shape-morphing bioelectronic devices, which can actively transform their geometric configurations in response to external stimuli (e.g., light, heat, electricity, and magnetic fields), have enabled many unique applications in different areas, ranging from human-machine interfaces to biomedical applications. These devices can not only realize in vivo deformations to execute specific tasks, form conformal contacts with target organs for real-time monitoring, and dynamically reshape their structures to adjust functional properties, but also assist users in daily activities through physical interactions. In this review, we provide a comprehensive overview of recent advances in shape-morphing bioelectronic devices, covering their fundamental working principles, representative deformation modes, and advanced manufacturing methodologies. Then, a broad range of practical applications of shape-morphing bioelectronics are summarized, including electromagnetic devices, optoelectronic devices, biological devices, biomedical devices, and haptic interfaces. Finally, we discuss key challenges and emerging opportunities in this rapidly evolving field, providing insights into future research directions and potential breakthroughs.
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Affiliation(s)
- Shiwei Xu
- Mechano-X Institute, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P. R. China.
- State Key Laboratory of Flexible Electronics Technology, Tsinghua University, 100084 Beijing, P. R. China
| | - Ruoxi Yang
- Mechano-X Institute, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P. R. China.
- State Key Laboratory of Flexible Electronics Technology, Tsinghua University, 100084 Beijing, P. R. China
| | - Youzhou Yang
- Mechano-X Institute, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P. R. China.
- State Key Laboratory of Flexible Electronics Technology, Tsinghua University, 100084 Beijing, P. R. China
| | - Yihui Zhang
- Mechano-X Institute, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P. R. China.
- State Key Laboratory of Flexible Electronics Technology, Tsinghua University, 100084 Beijing, P. R. China
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2
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Liu W, Luo Q, Zhu X, Liu M, Yao L, Wei F. A Multichannel Continuum Robot for In Situ Diagnosis and Treatment of Vascular Lesions. ACS Biomater Sci Eng 2025; 11:3071-3081. [PMID: 40300206 DOI: 10.1021/acsbiomaterials.5c00113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2025]
Abstract
In recent years, continuum soft robots have emerged as a promising avenue for the advancement of in vivo therapeutic interventions. However, the current continuum robots are often limited to singular functionalities and exhibit a deficiency in diagnostic capabilities for vascular lesions. For example, vasculitis often leads to temperature abnormalities in local blood vessels, and the existing continuum robots are unable to accurately detect the lesion area based on this characteristic. To address this issue, this paper presents the design of a multifunctional integrated thermally drawn polymer multichannel continuum robot. First, the magnetic deformation of the continuum robot was theoretically analyzed, and the robot's locomotion within a flow field was experimentally verified. Moreover, different channels of the multichannel continuum robot were independently designed for specific functions, enabling multithreaded operations. It can perform real-time sensing and monitoring of external environmental temperatures with high resolution and carry out targeted drug delivery as well as neural electrical stimulation. We successfully conducted in vitro experiments on isolated frog sciatic nerves, confirming the effectiveness of the multichannel continuum robot for biological treatment. The multichannel continuum robot shows great potential in the diagnosis and treatment of vasculitis in situ and nerve system disorder.
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Affiliation(s)
- Wei Liu
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
| | - Qinzhou Luo
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
| | - Xintao Zhu
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
| | - Ming Liu
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
| | - Ligang Yao
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
| | - Fanan Wei
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
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3
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Zhang J, Gao W, Wang Y, Shan Y, Dong S, Cao L, Li Z, Zhang H, Ren J, Ling S. Spider-Web-Like Artificial Network for Smart Capture. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2025:e2501687. [PMID: 40326209 DOI: 10.1002/smll.202501687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2025] [Revised: 04/24/2025] [Indexed: 05/07/2025]
Abstract
The construction of multifunctional spiderwebs by spiders, achieved through the synergistic integration of flagelliform silk, aggregate silk, and major ampullate silk, enables tasks such as prey capture, wind sensing, and water collection from the air. However, replicating spiderweb-like functionality using simple artificial systems remains challenging. Herein, the principles of structural and functional bioinspiration are employed to functionalize carbon nanotube fibers into capture fibers and signaling fibers, mimicking the function of flagelliform silk/aggregate silk, and major ampullate silk, respectively. The prepared capture fiber exhibits viscosity, humidity sensitivity, and actuation capabilities like the combination of flagelliform silk and aggregate silk, while the signal fiber resembles major ampullate silk, capable of sensing object touch through triboelectric signals and identifying the materials of touched objects. These functional fiber components are then assembled into an artificial spiderweb, which is further integrated with machine learning and Internet of Things technology to enable smart object capture. Similar to natural spiderwebs, this functionality is achieved by regulating web tension and relaxation through the switchover between wetting and drying states. The artificial network underscores the importance of learning from nature and expands the boundaries of soft robotics by integrating mutually complementary functions within a single system of simple construction.
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Affiliation(s)
- Jiahao Zhang
- School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai, 201210, P. R. China
| | - Wenli Gao
- School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai, 201210, P. R. China
| | - Yang Wang
- School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai, 201210, P. R. China
- School of Textile Science and Engineering, Wuyi University, Jiangmen, Guangdong, 529020, P. R. China
| | - Yicheng Shan
- School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai, 201210, P. R. China
| | - Shaojun Dong
- School of Physics and Electronics Engineering, Yancheng Teachers University, Yancheng, 224007, P. R. China
| | - Leitao Cao
- School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai, 201210, P. R. China
| | - Zijian Li
- School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai, 201210, P. R. China
| | - Hongti Zhang
- School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai, 201210, P. R. China
| | - Jing Ren
- School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai, 201210, P. R. China
| | - Shengjie Ling
- School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai, 201210, P. R. China
- State Key Laboratory of Molecular Engineering of Polymers, Research Center of AI for Polymer Science, Department of Macromolecular Science, Fudan University, Shanghai, 200433, P. R. China
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4
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Nguyen CC, Davies J, Ashok A, Hoang TT, Ehteda A, Dang TB, Nicotra E, Tran HA, Sharma B, Zhu K, Phan PT, Ji A, Wan J, Rnjak‐Kovacina J, Vittorio O, Phan H, Lovell NH, Do TN. Motor-Free Soft Robots for Cancer Detection, Surgery, and In Situ Bioprinting. Adv Healthc Mater 2025; 14:e2404623. [PMID: 39962833 PMCID: PMC12118338 DOI: 10.1002/adhm.202404623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2024] [Revised: 02/09/2025] [Indexed: 05/29/2025]
Abstract
Recent advancements in teleoperated surgical robotic systems (TSRSs) for minimally invasive surgery (MIS) have significantly improved diagnostic and surgical outcomes. However, as the complexity of MIS procedures continues to grow, there is an increasing need to enhance surgical tools by integrating advanced functionalities into these instruments for superior medical results. Despite recent advancements, TSRSs face significant challenges, including rigidity, suboptimal actuation methods, large sizes, and complex control mechanisms. This paper presents a portable, motor-free soft robotic system equipped with soft robotic arms (SRAs) that provides an innovative solution for performing MIS within complex human organs. Unlike conventional approaches, these SRAs leverage a soft fibrous syringe architecture for operation, eliminating the need for complex control systems. This design achieves precise motion control with mean errors <300 µm, effectively minimizing physical tremors. Two SRAs-one with and one without a central lumen-are developed. By integrating microelectrodes into the SRAs, the system demonstrates capabilities to support cancer detection via electrical impedance measurements and to perform radio-frequency ablation for surgical treatments. Additionally, the system supports biomaterial injections and in situ 3D printing for internal wound healing. This simple, cost-effective platform represents a promising new direction for developing TSRSs in MIS.
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Affiliation(s)
- Chi Cong Nguyen
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - James Davies
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Aditya Ashok
- School of Mechanical and Manufacturing EngineeringFaculty of EngineeringUNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Trung Thien Hoang
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Anahid Ehteda
- School of Biomedical SciencesFaculty of MedicineUNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Tran Bach Dang
- School of Mechanical and Manufacturing EngineeringFaculty of EngineeringUNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Emanuele Nicotra
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Hien A. Tran
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Bibhu Sharma
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Kefan Zhu
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Phuoc Thien Phan
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Adrienne Ji
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Jingjing Wan
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Jelena Rnjak‐Kovacina
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Orazio Vittorio
- School of Biomedical SciencesFaculty of MedicineUNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Hoang‐Phuong Phan
- School of Mechanical and Manufacturing EngineeringFaculty of EngineeringUNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Nigel Hamilton Lovell
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
| | - Thanh Nho Do
- Graduate School of Biomedical EngineeringFaculty of Engineeringand Tyree Institute of Health Engineering (IHealthE)UNSW SydneyKensington CampusSydneyNSW2052Australia
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5
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Oyejide A, Stroppa F, Sarac M. Miniaturized soft growing robots for minimally invasive surgeries: challenges and opportunities. PROGRESS IN BIOMEDICAL ENGINEERING (BRISTOL, ENGLAND) 2025; 7:033001. [PMID: 40194546 DOI: 10.1088/2516-1091/adc9ea] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Accepted: 04/07/2025] [Indexed: 04/09/2025]
Abstract
Advancements in assistive robots have significantly transformed healthcare procedures in recent years. Clinical continuum robots have enhanced minimally invasive surgeries, offering benefits to patients such as reduced blood loss and a short recovery time. However, controlling these devices is difficult due to their limited accuracy in three-dimensional deflections and challenging localization, particularly in confined spaces like human internal organs. Consequently, there has been growing research interest in employing miniaturized soft growing robots, a promising alternative that provides enhanced flexibility and maneuverability. In this work, we extensively investigated issues concerning their designs and interactions with humans in clinical contexts. We took insights from the open challenges of the generic soft growing robots to examine implications for miniaturization, actuation, and biocompatibility. We proposed technological concepts and provided detailed discussions on leveraging existing technologies, such as smart sensors, haptic feedback, and artificial intelligence, to ensure the safe and efficient deployment of the robots. Finally, we offer an array of opinions from a biomedical engineering perspective that contributes to advancing research in this domain for future research to transition from conceptualization to practical clinical application of miniature soft growing robots.
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Affiliation(s)
- Ayodele Oyejide
- Department of Electrical and Electronics Engineering, Kadir Has University, Istanbul 34083, Turkey
| | - Fabio Stroppa
- Department of Computer Engineering, Kadir Has University, Istanbul 34083, Turkey
| | - Mine Sarac
- Department of Mechatronics Engineering, Kadir Has University, Istanbul 34083, Turkey
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Jalandhra GK, Srethbhakdi L, Davies J, Nguyen CC, Phan PT, Och Z, Ashok A, Lim KS, Phan HP, Do TN, Lovell NH, Rnjak-Kovacina J. Materials Advances in Devices for Heart Disease Interventions. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2025:e2420114. [PMID: 40244561 DOI: 10.1002/adma.202420114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Revised: 03/07/2025] [Indexed: 04/18/2025]
Abstract
Heart disease encompasses a range of conditions that affect the heart, including coronary artery disease, arrhythmias, congenital heart defects, heart valve disease, and conditions that affect the heart muscle. Intervention strategies can be categorized according to when they are administered and include: 1) Monitoring cardiac function using sensor technology to inform diagnosis and treatment, 2) Managing symptoms by restoring cardiac output, electrophysiology, and hemodynamics, and often serving as bridge-to-recovery or bridge-to-transplantation strategies, and 3) Repairing damaged tissue, including myocardium and heart valves, when management strategies are insufficient. Each intervention approach and technology require specific material properties to function optimally, relying on materials that support their action and interface with the body, with new technologies increasingly depending on advances in materials science and engineering. This review explores material properties and requirements driving innovation in advanced intervention strategies for heart disease and highlights key examples of recent progress in the field driven by advances in materials research.
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Affiliation(s)
- Gagan K Jalandhra
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Lauryn Srethbhakdi
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - James Davies
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Chi Cong Nguyen
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Phuoc Thien Phan
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Zachary Och
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Aditya Ashok
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
- School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Khoon S Lim
- School of Medical Sciences, University of Sydney, Sydney, NSW, 2006, Australia
| | - Hoang-Phuong Phan
- School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Thanh Nho Do
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Nigel H Lovell
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
- Tyree Institute of Health Engineering (IHealthE), University of New South Wales, Sydney, NSW, 2052, Australia
| | - Jelena Rnjak-Kovacina
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
- Tyree Institute of Health Engineering (IHealthE), University of New South Wales, Sydney, NSW, 2052, Australia
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7
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Roshanfar M, Salimi M, Kaboodrangi AH, Jang SJ, Sinusas AJ, Wong SC, Mosadegh B. Advanced Robotics for the Next-Generation of Cardiac Interventions. MICROMACHINES 2025; 16:363. [PMID: 40283240 PMCID: PMC12029671 DOI: 10.3390/mi16040363] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2025] [Revised: 03/18/2025] [Accepted: 03/21/2025] [Indexed: 04/29/2025]
Abstract
With an increasing number of elderly individuals, the demand for advanced technologies to treat cardiac diseases has become more critical than ever. Additionally, there is a pressing need to reduce the learning curve for cardiac interventionalists to keep pace with the rapid development of new types of procedures and devices and to expand the adoption of established procedures in more hospitals. This comprehensive review aims to shed light on recent advancements in novel robotic systems for cardiac interventions. To do so, this review provides a brief overview of the history of previously developed robotic systems and describes the necessity for advanced technologies for cardiac interventions to address the technological limitations of current systems. Moreover, this review explores the potential of cutting-edge technologies and methods in developing the next generation of intra-procedure autonomous navigation. Each highlighted topic undergoes a critical analysis to evaluate its technical limitations and the challenges that must be addressed for successful clinical implementation.
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Affiliation(s)
- Majid Roshanfar
- Department of Mechanical Engineering, Gina Cody School of Engineering, Concordia University, Montreal, QC H3G 1M8, Canada
| | | | | | - Sun-Joo Jang
- Section of Cardiovascular Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Albert J Sinusas
- Section of Cardiovascular Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Shing-Chiu Wong
- Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Bobak Mosadegh
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA
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Zhang Y, Deng K, Shen T, Huang Y, Xu Z, Zhang J, Jin H, Liu X, Xu L, Lu L, Li S, Sun D, Wu D. Hollow fiber-based strain sensors with desirable modulus and sensitivity at effective deformation for dexterous electroelastomer cylindrical actuator. MICROSYSTEMS & NANOENGINEERING 2025; 11:34. [PMID: 40011435 DOI: 10.1038/s41378-025-00878-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2024] [Revised: 12/24/2024] [Accepted: 01/12/2025] [Indexed: 02/28/2025]
Abstract
The electroelastomer cylindrical actuators, a typical representation of soft actuators, have recently aroused increasing interest owing to their advantages in flexibility, deformability, and spatial utilization rate. Proprioception is crucial for controlling and monitoring the shape and position of these actuators. However, most existing flexible sensors have a modulus mismatch with the actuation unit, hindering the free movement of these actuators. Herein, a low-modulus strain sensor based on laser-induced cellular graphitic flakes (CGF) onto the surface of hollow TPU fibers (HTF) is present. Through the electrostatic self-assembly technology, the flexible sensor features a unique hybrid sensing unit including soft HTF as substrate and rigid CGF as conductive path. As a result, the sensor simultaneously possesses desirable modulus (~0.155 MPa), a gauge factor of 220.3 (25% < ε < 50%), fast response/recovery behaviors (31/62 ms), and a low detection limit (0.1% strain). Integrating the sensor onto the electroelastomer cylindrical actuators enables precise measurement of deformation modes, directions, and quantity. As proof-of-concept demonstrations, a prototype soft robot with high-precision perception is successfully designed, achieving real-time detection of its deformations during the crawling process. Thus, the proposed scheme sheds new light on the development of intelligent soft robots.
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Affiliation(s)
- Yang Zhang
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China
| | - Keqi Deng
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China
| | - Tingting Shen
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China
| | - Yong Huang
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China
| | - Zhenjin Xu
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China
| | - Jinhui Zhang
- Department of Mechanical & Electrical Engineering, Xiamen University, 361005, Xiamen, China
| | - Hang Jin
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China
| | - Xin Liu
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China
| | - Lida Xu
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China
| | - Lianjie Lu
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China
| | - Shiying Li
- Department of Ophthalmology, The First Affiliated Hospital of Xiamen University, School of Medicine, 361005, Xiamen, Fujian Province, China
| | - Daoheng Sun
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China
| | - Dezhi Wu
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.
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9
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Kim A, Barnes N, Bailey C, Krieger A, Weiss CR. Remote-Controlled and Teleoperated Systems: Taking Robotic Image Guided Interventions to the Next Stage. Tech Vasc Interv Radiol 2024; 27:101008. [PMID: 39828385 DOI: 10.1016/j.tvir.2024.101008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2025]
Abstract
Remote-controlled and teleoperated robotic systems mark transformative advancements in interventional radiology (IR), with the potential to enhance precision, reduce radiation exposure, and expand access to care. By integrating robotic devices with imaging guidance, these systems enable precise instrument placement and navigation, thereby improving the efficacy and safety of minimally invasive procedures. Remote-controlled and teleoperated robotic systems-operated by clinicians using control interfaces from within or adjacent to the procedure room-are being adopted for both percutaneous and endovascular interventions. In contrast, although their application is still experimental, teleoperation over long distances hold promise for extending IR services to medically underserved areas by enabling remote procedures. This review details the definitions and components of remote-controlled and teleoperated robotic systems in IR, examines their clinical applications in percutaneous and endovascular interventions, and discusses relevant challenges and future directions for their incorporation into IR practices.
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Affiliation(s)
- Alan Kim
- Division of Vascular and Interventional Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Noah Barnes
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD
| | - Christopher Bailey
- Division of Vascular and Interventional Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Axel Krieger
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD
| | - Clifford R Weiss
- Division of Vascular and Interventional Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD.
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10
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Li Z, Xu Q. Multi-Section Magnetic Soft Robot with Multirobot Navigation System for Vasculature Intervention. CYBORG AND BIONIC SYSTEMS 2024; 5:0188. [PMID: 39610760 PMCID: PMC11602701 DOI: 10.34133/cbsystems.0188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 08/26/2024] [Accepted: 10/08/2024] [Indexed: 11/30/2024] Open
Abstract
Magnetic soft robots have recently become a promising technology that has been applied to minimally invasive cardiovascular surgery. This paper presents the analytical modeling of a novel multi-section magnetic soft robot (MS-MSR) with multi-curvature bending, which is maneuvered by an associated collaborative multirobot navigation system (CMNS) with magnetic actuation and ultrasound guidance targeted for intravascular intervention. The kinematic and dynamic analysis of the MS-MSR's telescopic motion is performed using the optimized Cosserat rod model by considering the effect of an external heterogeneous magnetic field, which is generated by a mobile magnetic actuation manipulator to adapt to complex steering scenarios. Meanwhile, an extracorporeal mobile ultrasound navigation manipulator is exploited to track the magnetic soft robot's distal tip motion to realize a closed-loop control. We also conduct a quadratic programming-based optimization scheme to synchronize the multi-objective task-space motion of CMNS with null-space projection. It allows the formulation of a comprehensive controller with motion priority for multirobot collaboration. Experimental results demonstrate that the proposed magnetic soft robot can be successfully navigated within the multi-bifurcation intravascular environment with a shape modeling error 3.62 ± 1.28 ∘ and a tip error of 1.08 ± 0.45 mm under the actuation of a CMNS through in vitro ultrasound-guided vasculature interventional tests.
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Affiliation(s)
- Zhengyang Li
- Department of Electromechanical Engineering, Faculty of Science and Technology,
University of Macau, Macau, China
| | - Qingsong Xu
- Department of Electromechanical Engineering, Faculty of Science and Technology,
University of Macau, Macau, China
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11
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Zhou C, Xu Z, Lin Z, Qin X, Xia J, Ai X, Lou C, Huang Z, Huang S, Liu H, Zou Y, Chen W, Yang GZ, Gao A. Submillimeter fiber robots capable of decoupled macro-micro motion for endoluminal manipulation. SCIENCE ADVANCES 2024; 10:eadr6428. [PMID: 39576861 PMCID: PMC11584019 DOI: 10.1126/sciadv.adr6428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Accepted: 10/22/2024] [Indexed: 11/24/2024]
Abstract
Endoluminal and endocavitary intervention via natural orifices of the body is an emerging trend in medicine, further underpinning the future of early intervention and precision surgery. This motivates the development of small continuum robots to navigate freely in confined and tortuous environment. The trade-off between a large range of motion and high precision with concomitant actuation cross-talk poses a major challenge. Here, we present a submillimeter-scale fiber robot (~1 mm) capable of decoupled macro and micro manipulations for intervention and operation. The thin optical fibers, working both as mechanical tendons and light waveguides, can be pulled/pushed to actuate the macro tendon-driven continuum robot and transmit light to actuate the liquid crystal elastomer-based micro built-in light-driven parallel robot. The combination of the decoupled macro and micro motions can accomplish accurate cross-scale motion from several millimeters down to tens of micrometers. In vivo animal studies are performed to demonstrate its positioning accuracy of precise micro operations in endoluminal or endocavitary intervention.
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Affiliation(s)
- Cheng Zhou
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zheng Xu
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zecai Lin
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiaotong Qin
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jingyuan Xia
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiaojie Ai
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chuqian Lou
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Ziyi Huang
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Shaoping Huang
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Huanghua Liu
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yun Zou
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Weidong Chen
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Guang-Zhong Yang
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Anzhu Gao
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
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12
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Yang Y, Read H, Sbai M, Zareei A, Forte AE, Melancon D, Bertoldi K. Complex Deformation in Soft Cylindrical Structures via Programmable Sequential Instabilities. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2406611. [PMID: 39240015 DOI: 10.1002/adma.202406611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 07/23/2024] [Indexed: 09/07/2024]
Abstract
The substantial deformation exhibited by hyperelastic cylindrical shells under pressurization makes them an ideal platform for programmable inflatable structures. If negative pressure is applied, the cylindrical shell will buckle, leading to a sequence of rich deformation modes, all of which are fully recoverable due to the hyperelastic material choice. While the initial buckling event under vacuum is well understood, here, the post-buckling regime is explored and a region in the design space is identified in which a coupled twisting-contraction deformation mode occurs; by carefully controlling the geometry of our homogeneous shells, the proportion of contraction versus twist can be controlled. Additionally, bending as a post-buckling deformation mode can be unlocked by varying the thickness of our shells across the circumference. Since these soft shells can fully recover from substantial deformations caused by buckling, then these instability-driven deformations are harnessed to build soft machines capable of a programmable sequence of movements with a single actuation input.
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Affiliation(s)
- Yi Yang
- J.A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Helen Read
- J.A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Mohammed Sbai
- J.A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Ahmad Zareei
- J.A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Antonio Elia Forte
- J.A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
- Department of Engineering, King's College London, London, WC2R 2LS, UK
| | - David Melancon
- J.A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
- Department of Mechanical Engineering, Polytechnique Montreal, Quebec, H3T 1J4, Canada
| | - Katia Bertoldi
- J.A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
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13
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Cai CJ, Huang H, Ren H. Untethered bistable origami crawler for confined applications. COMMUNICATIONS ENGINEERING 2024; 3:150. [PMID: 39478162 PMCID: PMC11525557 DOI: 10.1038/s44172-024-00294-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 10/08/2024] [Indexed: 11/02/2024]
Abstract
Magnetically actuated miniature origami crawlers are capable of robust locomotion in confined environments but are limited to passive functionalities. Here, we propose a bistable origami crawler that can shape-morph to access two separate regimes of folding degrees of freedom that are separated by an energy barrier. Using the modified bistable V-fold origami crease pattern as the fundamental unit of the crawler, we incorporated internal permanent magnets to enable untethered shape-morphing. By modulating the orientation of the external magnetic field, the crawler can reconfigure between an undeployed locomotion state and a deployed load-bearing state. In the undeployed state, the crawler can deform to enable out-of-plane crawling for robust bi-directional locomotion and navigation in confined environments based on friction anisotropy. In the deployed state, the crawler can execute microneedle insertion in confined environments. Through this work, we demonstrated the advantage of incorporating bistability into origami mechanisms to expand their capabilities in space-constraint applications.
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Affiliation(s)
- Catherine Jiayi Cai
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117575, Singapore
- Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research (A*STAR), 5 Cleantech Loop, Singapore, 636732, Singapore
- Department of Electronic Engineering, Faculty of Engineering, The Chinese University of Hong Kong, Hong Kong, China
- Department of Mechanical Engineering, National University of Singapore, Singapore, 117575, Singapore
| | - Hui Huang
- Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research (A*STAR), 5 Cleantech Loop, Singapore, 636732, Singapore
- Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore, 138683, Singapore
| | - Hongliang Ren
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117575, Singapore.
- Department of Electronic Engineering, Faculty of Engineering, The Chinese University of Hong Kong, Hong Kong, China.
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14
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Yin S, Yao DR, Song Y, Heng W, Ma X, Han H, Gao W. Wearable and Implantable Soft Robots. Chem Rev 2024; 124:11585-11636. [PMID: 39392765 DOI: 10.1021/acs.chemrev.4c00513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2024]
Abstract
Soft robotics presents innovative solutions across different scales. The flexibility and mechanical characteristics of soft robots make them particularly appealing for wearable and implantable applications. The scale and level of invasiveness required for soft robots depend on the extent of human interaction. This review provides a comprehensive overview of wearable and implantable soft robots, including applications in rehabilitation, assistance, organ simulation, surgical tools, and therapy. We discuss challenges such as the complexity of fabrication processes, the integration of responsive materials, and the need for robust control strategies, while focusing on advances in materials, actuation and sensing mechanisms, and fabrication techniques. Finally, we discuss the future outlook, highlighting key challenges and proposing potential solutions.
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Affiliation(s)
- Shukun Yin
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Dickson R Yao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Yu Song
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Wenzheng Heng
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Xiaotian Ma
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Hong Han
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
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15
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Jaltotage B, Lu J, Dwivedi G. Use of Artificial Intelligence Including Multimodal Systems to Improve the Management of Cardiovascular Disease. Can J Cardiol 2024; 40:1804-1812. [PMID: 39038650 DOI: 10.1016/j.cjca.2024.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 07/15/2024] [Accepted: 07/16/2024] [Indexed: 07/24/2024] Open
Abstract
The rising prevalence of cardiovascular disease presents an escalating challenge for current health services, which are grappling with increasing demands. Innovative changes are imperative to sustain the delivery of high-quality patient care. Recent technologic advances have resulted in the emergence of artificial intelligence as a viable solution. Advanced algorithms are now capable of performing complex analysis of large volumes of data rapidly and with exceptional accuracy. Multimodality artificial intelligence systems handle a diverse range of data including images, text, video, and audio. Compared with single-modality systems, multimodal artificial intelligence systems appear to hold promise for enhancing overall performance and enabling smoother integration into existing workflows. Such systems can empower physicians with clinical decision support and enhanced efficiency. Owing to the complexity of the field, however, truly multimodal artificial intelligence is still scarce in the management of cardiovascular disease. This article aims to cover current research, emerging trends, and the future utilisation of artificial intelligence in the management of cardiovascular disease, with a focus on multimodality systems.
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Affiliation(s)
- Biyanka Jaltotage
- Department of Cardiology, Fiona Stanley Hospital, Perth, Western Australia, Australia
| | - Juan Lu
- Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia; School of Medicine, University of Western Australia, Perth, Western Australia, Australia
| | - Girish Dwivedi
- Department of Cardiology, Fiona Stanley Hospital, Perth, Western Australia, Australia; Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia; School of Medicine, University of Western Australia, Perth, Western Australia, Australia.
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16
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Chen MS, Sun R, Wang R, Zuo Y, Zhou K, Kim J, Stevens MM. Fillable Magnetic Microrobots for Drug Delivery to Cardiac Tissues In Vitro. Adv Healthc Mater 2024; 13:e2400419. [PMID: 38748937 DOI: 10.1002/adhm.202400419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 05/05/2024] [Indexed: 05/31/2024]
Abstract
Many cardiac diseases, such as arrhythmia or cardiogenic shock, cause irregular beating patterns that must be regulated to prevent disease progression toward heart failure. Treatments can include invasive surgery or high systemic drug dosages, which lack precision, localization, and control. Drug delivery systems (DDSs) that can deliver cargo to the cardiac injury site could address these unmet clinical challenges. Here, a microrobotic DDS that can be mobilized to specific sites via magnetic control is presented. This DDS incorporates an internal chamber that can protect drug cargo. Furthermore, the DDS contains a tunable thermosensitive sealing layer that gradually degrades upon exposure to body temperature, enabling prolonged drug release. Once loaded with the small molecule drug norepinephrine, this microrobotic DDS modulated beating frequency in induced pluripotent stem-cell derived cardiomyocytes (iPSC-CMs) in a dose-dependent manner, thus simulating drug delivery to cardiac cells in vitro. The DDS also navigates several maze-like structures seeded with cardiomyocytes to demonstrate precise locomotion under a rotating low-intensity magnetic field and on-site drug delivery. This work demonstrates the utility of a magnetically actuating DDS for precise, localized, and controlled drug delivery which is of interest for a myriad of future opportunities such as in treating cardiac diseases.
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Affiliation(s)
- Maggie S Chen
- Department of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Rujie Sun
- Department of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Richard Wang
- Department of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Yuyang Zuo
- Department of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Kun Zhou
- Department of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Junyoung Kim
- Department of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Molly M Stevens
- Department of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
- Kavli Institute for Nanoscience Discovery, Department of Physiology, Anatomy, & Genetics, Department of Engineering Science, University of Oxford, Oxford, OX1 3QU, UK
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17
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Moran AM, Vo VT, McDonald KJ, Sultania P, Langenbrunner E, Chong JHV, Naik A, Kinnicutt L, Li J, Ranzani T. An electropermanent magnet valve for the onboard control of multi-degree of freedom pneumatic soft robots. COMMUNICATIONS ENGINEERING 2024; 3:117. [PMID: 39179768 PMCID: PMC11344064 DOI: 10.1038/s44172-024-00251-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 07/18/2024] [Indexed: 08/26/2024]
Abstract
To achieve coordinated functions, fluidic soft robots typically rely on multiple input lines for the independent inflation and deflation of each actuator. Fluidic actuators are controlled by rigid electronic pneumatic valves, restricting the mobility and compliance of the soft robot. Recent developments in soft valve designs have shown the potential to achieve a more integrated robotic system, but are limited by high energy consumption and slow response time. In this work, we present an electropermanent magnet (EPM) valve for electronic control of pneumatic soft actuators that is activated through microsecond electronic pulses. The valve incorporates a thin channel made from thermoplastic films. The proposed valve (3 × 3 × 0.8 cm, 2.9 g) can block pressure up to 146 kPa and negative pressures up to -100 kPa with a response time of less than 1 s. Using the EPM valves, we demonstrate the ability to switch between multiple operation sequences in real time through the control of a six-DoF robot capable of grasping and hopping with a single pressure input. Our proposed onboard control strategy simplifies the operation of multi-pressure systems, enabling the development of dynamically programmable soft fluid-driven robots that are versatile in responding to different tasks.
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Affiliation(s)
- Anna Maria Moran
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Vi T Vo
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Kevin J McDonald
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Pranav Sultania
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Eva Langenbrunner
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | | | - Amartya Naik
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Lorenzo Kinnicutt
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Jingshuo Li
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Tommaso Ranzani
- Department of Mechanical Engineering, Boston University, Boston, MA, USA.
- Department of Biomedical Engineering, Boston University, Boston, MA, USA.
- Materials Science and Engineering Division, Boston University, Boston, MA, USA.
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18
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Colton A, Fitzgerald D, Sarker S, Barnes N, Gandhi D, Janowski M, Brown JD, Kanter J, Olivieri L, Fuge M, Krieger A, Sochol RD. Toward "S"-Shaped 3D-Printed Soft Robotic Guidewires for Pediatric Patent Ductus Arteriosus Endovascular Interventions. IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS. IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS 2024; 2024:965-970. [PMID: 40160282 PMCID: PMC11955227 DOI: 10.1109/robosoft60065.2024.10521960] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
Patent Ductus Arteriosus (PDA) is a heart condition in which the ductus arteriosus-a blood vessel connecting the pulmonary artery to the aorta in a fetus-fails to undergo closure after birth. A PDA can be an important factor in neonates born with severe congenital heart disease (CHD) or born prematurely. With the advent of new intravascular stent technologies, treatments based on ductus arteriosus stenting can now be completed in many cases; however, difficulties remain in accessing the ductus arteriosus in small babies successfully using current guidewire-catheter systems. Recent developments for soft robotic endovascular instruments that leverage control schemes hold distinctive potential for addressing these access challenges, but such technologies are not yet at the sizes required for navigating neonatal vasculature safely and efficiently. In an effort to meet this clinical need, this work presents an approach for 3D printing 1.5 French (Fr) soft robotic guidewires that transition from straight to "S"-shaped configurations under the application of fluidic (e.g., pneumatic or hydraulic) loading. Two distinct dual-opposing segmented soft actuators, including a symmetric and asymmetric system design (both with heights of 2.5 mm), were 3D printed onto 1.1 Fr capillaries in 35-60 minutes via "Two-Photon Direct Laser Writing (DLW)". Experimental results revealed that both designs not only withstood pressures of up to 550 kPa, but also exhibited increased opposing bending deformations-corresponding to decreased radii of curvature-with increasing applied pressure. In combination, this study serves as a critical foundation for next-generation fluidically actuated soft robotic guidewire-catheter systems for PDA interventions.
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Affiliation(s)
- Adira Colton
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
| | - Declan Fitzgerald
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
| | - Sunandita Sarker
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
| | - Noah Barnes
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Dheeraj Gandhi
- Program in Image Guided Neurointerventions, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Miroslaw Janowski
- Program in Image Guided Neurointerventions, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Jeremy D Brown
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Joshua Kanter
- Children's National Heart Institute, Children's National Hospital, Washington DC, 20010, USA
| | - Laura Olivieri
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15224, USA
| | - Mark Fuge
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
- Maryland Robotics Center, University of Maryland, College Park, MD, 20742, USA
| | - Axel Krieger
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Ryan D Sochol
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
- Maryland Robotics Center, University of Maryland, College Park, MD, 20742, USA
- Robert E. Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD, 20742, USA
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19
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Felix BM, Young OM, Andreou JT, Portwood N, Barvenik KJ, Barnes N, Weiss CR, Bailey CR, Gandhi D, Janowski M, Brown JD, Tubaldi E, Fuge M, Krieger A, Sochol RD. An Approach for 3D Microprinting Soft Robotic Surgical Tools at 1.5 French Length Scales for Endovascular Interventions. IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS. IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS 2024; 2024:386-391. [PMID: 40160281 PMCID: PMC11955228 DOI: 10.1109/robosoft60065.2024.10521948] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
A wide range of endovascular interventions rely on surgical tools such as guidewire-catheter systems for navigating through blood vessels to, for example, deliver embolic materials, stents, and/or therapeutic agents to target sites as well as biopsy tools (e.g., forceps and punch needles) for medical diagnostics. In response to the difficulties in maneuvering such endovascular instruments safely and effectively to access intended sites in the body, researchers have developed an array of soft robotic surgical tools that harness fluidic (e.g., pneumatic or hydraulic) actuation schemes to support on-demand steering and control. Despite considerable progress, scaling these tools down to the sizes required for medical procedures such as cerebral aneurysm treatment and liver chemoembolization have been hindered by manufacturing-induced constraints. To provide a pathway to overcome these miniaturization challenges, this work presents a novel additive manufacturing strategy for 3D microprinting integrated soft actuators directly atop multilumen microfluidic tubing via "Two-Photon Direct Laser Writing (DLW)". As an exemplar, a two-actuator tip was 3D printed onto custom dual-lumen tubing-resulting in a system akin to a 1.5 French (Fr) guidewire with a steerable tip. Experimental results revealed independent actuator control via the discretized lumens, with tip bending of approximately 60° under input pressures of 130 kPa via hydraulic actuation. These results suggest that the presented strategy could be extended to achieve new classes of fluidically actuated soft robotic surgical tools at unprecedented length scales for emerging applications in minimally invasive surgery.
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Affiliation(s)
- Bailey M Felix
- Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Olivia M Young
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
| | - Jordi T Andreou
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
| | - Nicholas Portwood
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
| | - Kieran J Barvenik
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
| | - Noah Barnes
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Clifford R Weiss
- Division of Vascular and Interventional Radiology, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Christopher R Bailey
- Division of Vascular and Interventional Radiology, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Dheeraj Gandhi
- Program in Image Guided Neurointerventions, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Miroslaw Janowski
- Program in Image Guided Neurointerventions, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Jeremy D Brown
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Eleonora Tubaldi
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
| | - Mark Fuge
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
| | - Axel Krieger
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Ryan D Sochol
- Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
- Department of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA
- Maryland Robotics Center, University of Maryland, College Park, MD, 20742, USA
- Robert E. Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD, 20742, USA
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20
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Bo Y, Wang H, Niu H, He X, Xue Q, Li Z, Yang H, Niu F. Advancements in materials, manufacturing, propulsion and localization: propelling soft robotics for medical applications. Front Bioeng Biotechnol 2024; 11:1327441. [PMID: 38260727 PMCID: PMC10800571 DOI: 10.3389/fbioe.2023.1327441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 12/04/2023] [Indexed: 01/24/2024] Open
Abstract
Soft robotics is an emerging field showing immense potential for biomedical applications. This review summarizes recent advancements in soft robotics for in vitro and in vivo medical contexts. Their inherent flexibility, adaptability, and biocompatibility enable diverse capabilities from surgical assistance to minimally invasive diagnosis and therapy. Intelligent stimuli-responsive materials and bioinspired designs are enhancing functionality while improving biocompatibility. Additive manufacturing techniques facilitate rapid prototyping and customization. Untethered chemical, biological, and wireless propulsion methods are overcoming previous constraints to access new sites. Meanwhile, advances in tracking modalities like computed tomography, fluorescence and ultrasound imaging enable precision localization and control enable in vivo applications. While still maturing, soft robotics promises more intelligent, less invasive technologies to improve patient care. Continuing research into biocompatibility, power supplies, biomimetics, and seamless localization will help translate soft robots into widespread clinical practice.
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Affiliation(s)
- Yunwen Bo
- School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China
| | - Haochen Wang
- School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China
| | - Hui Niu
- Department of Pathology, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Xinyang He
- School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China
| | - Quhao Xue
- School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China
| | - Zexi Li
- School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China
| | - Hao Yang
- Robotics and Microsystems Center, School of Mechanical and Electrical Engineering, Soochow University, Suzhou, China
| | - Fuzhou Niu
- School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China
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21
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Young OM, Felix BM, Fuge MD, Krieger A, Sochol RD. A 3D-MICROPRINTED COAXIAL NOZZLE FOR FABRICATING LONG, FLEXIBLE MICROFLUIDIC TUBING. PROCEEDINGS. IEEE INTERNATIONAL CONFERENCE ON MICRO ELECTRO MECHANICAL SYSTEMS 2024; 2024:1174-1177. [PMID: 38482160 PMCID: PMC10936740 DOI: 10.1109/mems58180.2024.10439296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
A variety of emerging applications, particularly those in medical and soft robotics fields, are predicated on the ability to fabricate long, flexible meso/microfluidic tubing with high customization. To address this need, here we present a hybrid additive manufacturing (or "three-dimensional (3D) printing") strategy that involves three key steps: (i) using the "Vat Photopolymerization (VPP) technique, "Liquid-Crystal Display (LCD)" 3D printing to print a bulk microfluidic device with three inlets and three concentric outlets; (ii) using "Two-Photon Direct Laser Writing (DLW)" to 3D microprint a coaxial nozzle directly atop the concentric outlets of the bulk microdevice, and then (iii) extruding paraffin oil and a liquid-phase photocurable resin through the coaxial nozzle and into a polydimethylsiloxane (PDMS) channel for UV exposure, ultimately producing the desired tubing. In addition to fabricating the resulting tubing-composed of polymerized photomaterial-at arbitrary lengths (e.g., > 10 cm), the distinct input pressures can be adjusted to tune the inner diameter (ID) and outer diameter (OD) of the fabricated tubing. For example, experimental results revealed that increasing the driving pressure of the liquid-phase photomaterial from 50 kPa to 100 kPa led to fluidic tubing with IDs and ODs of 291±99 μm and 546±76 μm up to 741±31 μm and 888±39 μm, respectively. Furthermore, preliminary results for DLW-printing a microfluidic "M" structure directly atop the tubing suggest that the tubing could be used for "ex situ DLW (esDLW)" fabrication, which would further enhance the utility of the tubing.
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Affiliation(s)
- Olivia M Young
- Department of Mechanical Engineering, University of Maryland, College Park, MD, USA
| | - Bailey M Felix
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA
| | - Mark D Fuge
- Department of Mechanical Engineering, University of Maryland, College Park, MD, USA
| | - Axel Krieger
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Ryan D Sochol
- Department of Mechanical Engineering, University of Maryland, College Park, MD, USA
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA
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A robot performs heart surgery with a strong but delicate touch. Nature 2023; 623:227. [PMID: 37919415 DOI: 10.1038/d41586-023-03353-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
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