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Ren Z, Sitti M. Design and build of small-scale magnetic soft-bodied robots with multimodal locomotion. Nat Protoc 2024; 19:441-486. [PMID: 38097687 DOI: 10.1038/s41596-023-00916-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 09/21/2023] [Indexed: 02/12/2024]
Abstract
Small-scale magnetic soft-bodied robots can be designed to operate based on different locomotion modes to navigate and function inside unstructured, confined and varying environments. These soft millirobots may be useful for medical applications where the robots are tasked with moving inside the human body. Here we cover the entire process of developing small-scale magnetic soft-bodied millirobots with multimodal locomotion capability, including robot design, material preparation, robot fabrication, locomotion control and locomotion optimization. We describe in detail the design, fabrication and control of a sheet-shaped soft millirobot with 12 different locomotion modes for traversing different terrains, an ephyra jellyfish-inspired soft millirobot that can manipulate objects in liquids through various swimming modes, a larval zebrafish-inspired soft millirobot that can adjust its body stiffness for efficient propulsion in different swimming speeds and a dual stimuli-responsive sheet-shaped soft millirobot that can switch its locomotion modes automatically by responding to changes in the environmental temperature. The procedure is aimed at users with basic expertise in soft robot development. The procedure requires from a few days to several weeks to complete, depending on the degree of characterization required.
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Affiliation(s)
- Ziyu Ren
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany
| | - Metin Sitti
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany.
- Institute for Biomedical Engineering, ETH Zurich, Zurich, Switzerland.
- School of Medicine and College of Engineering, Koç University, Istanbul, Turkey.
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Chen Z, Wang Y, Chen H, Law J, Pu H, Xie S, Duan F, Sun Y, Liu N, Yu J. A magnetic multi-layer soft robot for on-demand targeted adhesion. Nat Commun 2024; 15:644. [PMID: 38245517 PMCID: PMC10799857 DOI: 10.1038/s41467-024-44995-9] [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: 07/22/2023] [Accepted: 01/04/2024] [Indexed: 01/22/2024] Open
Abstract
Magnetic soft robots have shown great potential for biomedical applications due to their high shape reconfigurability, motion agility, and multi-functionality in physiological environments. Magnetic soft robots with multi-layer structures can enhance the loading capacity and function complexity for targeted delivery. However, the interactions between soft entities have yet to be fully investigated, and thus the assembly of magnetic soft robots with on-demand motion modes from multiple film-like layers is still challenging. Herein, we model and tailor the magnetic interaction between soft film-like layers with distinct in-plane structures, and then realize multi-layer soft robots that are capable of performing agile motions and targeted adhesion. Each layer of the robot consists of a soft magnetic substrate and an adhesive film. The mechanical properties and adhesion performance of the adhesive films are systematically characterized. The robot is capable of performing two locomotion modes, i.e., translational motion and tumbling motion, and also the on-demand separation with one side layer adhered to tissues. Simulation results are presented, which have a good qualitative agreement with the experimental results. The feasibility of using the robot to perform multi-target adhesion in a stomach is validated in both ex-vivo and in-vivo experiments.
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Affiliation(s)
- Ziheng Chen
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200444, China
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China
- Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, 518172, China
| | - Yibin Wang
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China
- Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, 518172, China
| | - Hui Chen
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China
- Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, 518172, China
| | - Junhui Law
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, M5S 3G8, Canada
| | - Huayan Pu
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200444, China
| | - Shaorong Xie
- School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China
| | - Feng Duan
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yu Sun
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, M5S 3G8, Canada
| | - Na Liu
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200444, China.
| | - Jiangfan Yu
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China.
- Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, 518172, China.
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, China.
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Lee JG, Raj RR, Day NB, Shields CW. Microrobots for Biomedicine: Unsolved Challenges and Opportunities for Translation. ACS NANO 2023; 17:14196-14204. [PMID: 37494584 PMCID: PMC10928690 DOI: 10.1021/acsnano.3c03723] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
Microrobots are being explored for biomedical applications, such as drug delivery, biological cargo transport, and minimally invasive surgery. However, current efforts largely focus on proof-of-concept studies with nontranslatable materials through a "design-and-apply" approach, limiting the potential for clinical adaptation. While these proof-of-concept studies have been key to advancing microrobot technologies, we believe that the distinguishing capabilities of microrobots will be most readily brought to patient bedsides through a "design-by-problem" approach, which involves focusing on unsolved problems to inform the design of microrobots with practical capabilities. As outlined below, we propose that the clinical translation of microrobots will be accelerated by a judicious choice of target applications, improved delivery considerations, and the rational selection of translation-ready biomaterials, ultimately reducing patient burden and enhancing the efficacy of therapeutic drugs for difficult-to-treat diseases.
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Affiliation(s)
| | | | | | - C. Wyatt Shields
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, 80303, USA
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Soon RH, Yin Z, Dogan MA, Dogan NO, Tiryaki ME, Karacakol AC, Aydin A, Esmaeili-Dokht P, Sitti M. Pangolin-inspired untethered magnetic robot for on-demand biomedical heating applications. Nat Commun 2023; 14:3320. [PMID: 37339969 PMCID: PMC10282021 DOI: 10.1038/s41467-023-38689-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 05/11/2023] [Indexed: 06/22/2023] Open
Abstract
Untethered magnetic miniature soft robots capable of accessing hard-to-reach regions can enable safe, disruptive, and minimally invasive medical procedures. However, the soft body limits the integration of non-magnetic external stimuli sources on the robot, thereby restricting the functionalities of such robots. One such functionality is localised heat generation, which requires solid metallic materials for increased efficiency. Yet, using these materials compromises the compliance and safety of using soft robots. To overcome these competing requirements, we propose a pangolin-inspired bi-layered soft robot design. We show that the reported design achieves heating > 70 °C at large distances > 5 cm within a short period of time <30 s, allowing users to realise on-demand localised heating in tandem with shape-morphing capabilities. We demonstrate advanced robotic functionalities, such as selective cargo release, in situ demagnetisation, hyperthermia and mitigation of bleeding, on tissue phantoms and ex vivo tissues.
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Affiliation(s)
- Ren Hao Soon
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zürich, 8092, Zürich, Switzerland
| | - Zhen Yin
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Department of Control Science and Engineering, Tongji University, Shanghai, China
- Frontiers Science Center for Intelligent Autonomous Systems, Shanghai, China
| | - Metin Alp Dogan
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Nihal Olcay Dogan
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zürich, 8092, Zürich, Switzerland
| | - Mehmet Efe Tiryaki
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zürich, 8092, Zürich, Switzerland
| | - Alp Can Karacakol
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Asli Aydin
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Pouria Esmaeili-Dokht
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Metin Sitti
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.
- Institute for Biomedical Engineering, ETH Zürich, 8092, Zürich, Switzerland.
- School of Medicine and College of Engineering, Koç University, 34450, Istanbul, Turkey.
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Sridhar V, Yildiz E, Rodríguez-Camargo A, Lyu X, Yao L, Wrede P, Aghakhani A, Akolpoglu BM, Podjaski F, Lotsch BV, Sitti M. Designing Covalent Organic Framework-Based Light-Driven Microswimmers toward Therapeutic Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023:e2301126. [PMID: 37003701 DOI: 10.1002/adma.202301126] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/18/2023] [Indexed: 06/19/2023]
Abstract
While micromachines with tailored functionalities enable therapeutic applications in biological environments, their controlled motion and targeted drug delivery in biological media require sophisticated designs for practical applications. Covalent organic frameworks (COFs), a new generation of crystalline and nanoporous polymers, offer new perspectives for light-driven microswimmers in heterogeneous biological environments including intraocular fluids, thus setting the stage for biomedical applications such as retinal drug delivery. Two different types of COFs, uniformly spherical TABP-PDA-COF sub-micrometer particles and texturally nanoporous, micrometer-sized TpAzo-COF particles are described and compared as light-driven microrobots. They can be used as highly efficient visible-light-driven drug carriers in aqueous ionic and cellular media. Their absorption ranging down to red light enables phototaxis even in deeper and viscous biological media, while the organic nature of COFs ensures their biocompatibility. Their inherently porous structures with ≈2.6 and ≈3.4 nm pores, and large surface areas allow for targeted and efficient drug loading even for insoluble drugs, which can be released on demand. Additionally, indocyanine green (ICG) dye loading in the pores enables photoacoustic imaging, optical coherence tomography, and hyperthermia in operando conditions. This real-time visualization of the drug-loaded COF microswimmers enables unique insights into the action of photoactive porous drug carriers for therapeutic applications.
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Affiliation(s)
- Varun Sridhar
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Erdost Yildiz
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Andrés Rodríguez-Camargo
- Nanochemistry Department, Max Planck Institute for Solid State Research, 70569, Stuttgart, Germany
- Department of Chemistry, University of Stuttgart, 70569, Stuttgart, Germany
| | - Xianglong Lyu
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Liang Yao
- Nanochemistry Department, Max Planck Institute for Solid State Research, 70569, Stuttgart, Germany
| | - Paul Wrede
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, 8092, Zurich, Switzerland
| | - Amirreza Aghakhani
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Birgul M Akolpoglu
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, 8092, Zurich, Switzerland
| | - Filip Podjaski
- Nanochemistry Department, Max Planck Institute for Solid State Research, 70569, Stuttgart, Germany
- Department of Chemistry, Imperial College London, W12 0BZ, London, UK
| | - Bettina V Lotsch
- Nanochemistry Department, Max Planck Institute for Solid State Research, 70569, Stuttgart, Germany
- Department of Chemistry, University of Stuttgart, 70569, Stuttgart, Germany
- Cluster of Excellence e-conversion, 85748, Lichtenbergstrasse 4, Garching, Germany
- Department of Chemistry, University of Munich (LMU), 81377, Munich, Germany
| | - Metin Sitti
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, 8092, Zurich, Switzerland
- School of Medicine and College of Engineering, Koç University, 34450, Istanbul, Turkey
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