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Gerez L, Micera S, Nuckols R, Proietti T. Assessment of wearable robotics performance in patients with neurological conditions. Curr Opin Neurol 2024; 37:645-654. [PMID: 39373271 DOI: 10.1097/wco.0000000000001328] [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: 10/08/2024]
Abstract
PURPOSE OF REVIEW While wearable robotics is expanding within clinical settings, particularly for neurological rehabilitation, there is still a lack of consensus on how to effectively assess the performance of these devices. This review focuses on the most common metrics, whose selection and design are crucial for optimizing treatment outcomes and potentially improve the standard care. RECENT FINDINGS The literature reveals that while wearable robots are equipped with various embedded sensors, most studies still rely on traditional, nontechnological methods for assessment. Recent studies have shown that, although quantitative data from embedded sensors are available (e.g., kinematics), these are underutilized in favor of qualitative assessments. A trend toward integrating automatic assessments from the devices themselves is emerging, with a few notable studies pioneering this approach. SUMMARY Our analysis suggests a critical need for developing standardized metrics that leverage the data from embedded sensors in wearable robots. This shift could enhance the accuracy of patient assessments and the effectiveness of rehabilitation strategies, ultimately leading to better patient outcomes in neurological rehabilitation.
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Affiliation(s)
- Lucas Gerez
- ARARA Lab, James Watt School of Engineering, University of Glasgow, Glasgow, UK
| | - Silvestro Micera
- The Biorobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa
- Modular Implantable Neuroprostheses (MINE) Laboratory, Università Vita-Salute San Raffaele & Scuola Superiore Sant'Anna, Milan, Italy
- Bertarelli Foundation Chair in Translational Neuroengineering, Centre for Neuroprosthetics and Institute of Bioengineering, School of Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Richard Nuckols
- Department of Mechanical & Industrial Engineering, Francis College of Engineering, University of Massachusetts Lowell, Lowell, Massachusetts, USA
| | - Tommaso Proietti
- The Biorobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa
- Modular Implantable Neuroprostheses (MINE) Laboratory, Università Vita-Salute San Raffaele & Scuola Superiore Sant'Anna, Milan, Italy
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O'Neill CT, Young HT, Hohimer CJ, Proietti T, Rastgaar M, Artemiadis P, Walsh CJ. Tunable, Textile-Based Joint Impedance Module for Soft Robotic Applications. Soft Robot 2023; 10:937-947. [PMID: 37042697 DOI: 10.1089/soro.2021.0173] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023] Open
Abstract
The design of soft actuators is often focused on achieving target trajectories or delivering specific forces and torques, rather than controlling the impedance of the actuator. This article outlines a new soft, tunable pneumatic impedance module based on an antagonistic actuator setup of textile-based pneumatic actuators intended to deliver bidirectional torques about a joint. Through mechanical programming of the actuators (select tuning of geometric parameters), the baseline torque to angle relationship of the module can be tuned. A high bandwidth fluidic controller that can rapidly modulate the pressure at up to 8 Hz in each antagonistic actuator was also developed to enable tunable impedance modulation. This high bandwidth was achieved through the characterization and modeling of the proportional valves used, derivation of a fluidic model, and derivation of control equations. The resulting impedance module was capable of modulating its stiffness from 0 to 100 Nm/rad, at velocities up to 120°/s and emulating asymmetric and nonlinear stiffness profiles, typical in wearable robotic applications.
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Affiliation(s)
- Ciarán T O'Neill
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - Harrison T Young
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - Cameron J Hohimer
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - Tommaso Proietti
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - Mo Rastgaar
- Polytechnic Institute, Purdue University, West Lafayette, Indiana, USA
| | - Panagiotis Artemiadis
- Department of Mechanical Engineering, College of Engineering, University of Delaware, Newark, Delaware, USA
| | - Conor J Walsh
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
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Vasquez ED, Simpson CS, Zhou G, Lansberg M, Okamura AM. Evaluation of a Passive Wearable Device for Post-Stroke Shoulder Abduction Support. IEEE Int Conf Rehabil Robot 2023; 2023:1-6. [PMID: 37941216 DOI: 10.1109/icorr58425.2023.10304815] [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: 11/10/2023]
Abstract
Post-stroke upper extremity function can be improved by devices that support shoulder abduction. However, many of these devices provide limited assistance in activities of daily living due to their complexity and encumbrance. We developed and evaluated a passive, lightweight (0.6 kg) wearable device consisting of an aluminum frame and elastic bands attached to a posture vest to aid in shoulder abduction. The number and thickness of bands can be adjusted to provide supportive forces to the affected arm. We measured reachable workspace area and Wolf Motor Function Test (WMFT) performance in people with a history of stroke (n = 11) with and without the wearable. The device increased workspace area in 6 participants and improved average WMFT functional and timing scores in 7 and 12 tasks, respectively, out of 16 total tasks. On average, participants increased their arm motion within 20 cm of shoulder level by 22.4% and decreased their hand's average distance from trunk by 15.2%, both improvements in the device case.
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Proietti T, O'Neill C, Gerez L, Cole T, Mendelowitz S, Nuckols K, Hohimer C, Lin D, Paganoni S, Walsh C. Restoring arm function with a soft robotic wearable for individuals with amyotrophic lateral sclerosis. Sci Transl Med 2023; 15:eadd1504. [PMID: 36724237 DOI: 10.1126/scitranslmed.add1504] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Despite promising results in the rehabilitation field, it remains unclear whether upper limb robotic wearables, e.g., for people with physical impairments resulting from neurodegenerative disease, can be made portable and suitable for everyday use. We present a lightweight, fully portable, textile-based, soft inflatable wearable robot for shoulder elevation assistance that provides dynamic active support to the upper limbs. The technology is mechanically transparent when unpowered, can quantitatively assess free movement of the user, and adds only 150 grams of weight to each upper limb. In 10 individuals with amyotrophic lateral sclerosis (ALS) with different degrees of neuromuscular impairment, we demonstrated immediate improvement in the active range of motion and compensation for continuing physical deterioration in two individuals with ALS over 6 months. Along with improvements in movement, we show that this robotic wearable can improve functional activity without any training, restoring performance of basic activities of daily living. In addition, a reduction in shoulder muscle activity and perceived muscular exertion, coupled with increased endurance for holding objects, highlight the potential of this device to mitigate the impact of muscular fatigue for patients with ALS. These results represent a further step toward everyday use of assistive, soft, robotic wearables for the upper limbs.
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Affiliation(s)
- Tommaso Proietti
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Ciaran O'Neill
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Lucas Gerez
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Tazzy Cole
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Sarah Mendelowitz
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Kristin Nuckols
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Cameron Hohimer
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - David Lin
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Sabrina Paganoni
- Neurological Clinical Research Institute, Massachusetts General Hospital, Boston, MA 02114, USA.,Department of Physical Medicine and Rehabilitation Services, Spaulding Rehabilitation Hospital, Boston, MA 02129, USA
| | - Conor Walsh
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
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Bardi E, Gandolla M, Braghin F, Resta F, Pedrocchi ALG, Ambrosini E. Upper limb soft robotic wearable devices: a systematic review. J Neuroeng Rehabil 2022; 19:87. [PMID: 35948915 PMCID: PMC9367113 DOI: 10.1186/s12984-022-01065-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 07/21/2022] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION Soft robotic wearable devices, referred to as exosuits, can be a valid alternative to rigid exoskeletons when it comes to daily upper limb support. Indeed, their inherent flexibility improves comfort, usability, and portability while not constraining the user's natural degrees of freedom. This review is meant to guide the reader in understanding the current approaches across all design and production steps that might be exploited when developing an upper limb robotic exosuit. METHODS The literature research regarding such devices was conducted in PubMed, Scopus, and Web of Science. The investigated features are the intended scenario, type of actuation, supported degrees of freedom, low-level control, high-level control with a focus on intention detection, technology readiness level, and type of experiments conducted to evaluate the device. RESULTS A total of 105 articles were collected, describing 69 different devices. Devices were grouped according to their actuation type. More than 80% of devices are meant either for rehabilitation, assistance, or both. The most exploited actuation types are pneumatic (52%) and DC motors with cable transmission (29%). Most devices actuate 1 (56%) or 2 (28%) degrees of freedom, and the most targeted joints are the elbow and the shoulder. Intention detection strategies are implemented in 33% of the suits and include the use of switches and buttons, IMUs, stretch and bending sensors, EMG and EEG measurements. Most devices (75%) score a technology readiness level of 4 or 5. CONCLUSION Although few devices can be considered ready to reach the market, exosuits show very high potential for the assistance of daily activities. Clinical trials exploiting shared evaluation metrics are needed to assess the effectiveness of upper limb exosuits on target users.
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Affiliation(s)
- Elena Bardi
- Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy
| | - Marta Gandolla
- Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy
| | - Francesco Braghin
- Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy
| | - Ferruccio Resta
- Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy
| | | | - Emilia Ambrosini
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
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A textile exomuscle that assists the shoulder during functional movements for everyday life. NAT MACH INTELL 2022. [DOI: 10.1038/s42256-022-00495-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Park D, Toxiri S, Chini G, Natali CD, Caldwell DG, Ortiz J. Shoulder-sideWINDER (Shoulder-side Wearable INDustrial Ergonomic Robot): Design and Evaluation of Shoulder Wearable Robot With Mechanisms to Compensate for Joint Misalignment. IEEE T ROBOT 2022. [DOI: 10.1109/tro.2021.3125854] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Daegeun Park
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Stefano Toxiri
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Giorgia Chini
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Christian Di Natali
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Darwin G. Caldwell
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Jesus Ortiz
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
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Noronha B, Ng CY, Little K, Xiloyannis M, Kuah CWK, Wee SK, Kulkarni SR, Masia L, Chua KSG, Accoto D. Soft, lightweight wearable robots to support the upper limb in activities of daily living: a feasibility study on chronic stroke patients. IEEE Trans Neural Syst Rehabil Eng 2022; 30:1401-1411. [PMID: 35576429 DOI: 10.1109/tnsre.2022.3175224] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Stroke can be a devastating condition that impairs the upper limb and reduces mobility. Wearable robots can aid impaired users by supporting performance of Activities of Daily Living (ADLs). In the past decade, soft devices have become popular due to their inherent malleable and low-weight properties that makes them generally safer and more ergonomic. In this study, we present an improved version of our previously developed gravity-compensating upper limb exosuit and introduce a novel hand exoskeleton. The latter uses 3D-printed structures that are attached to the back of the fingers which prevent undesired hyperextension of joints. We explored the feasibility of using this integrated system in a sample of 10 chronic stroke patients who performed 10 ADLs.We observed a significant reduction of 30.3 ± 3.5% (mean ± standard error), 31.2 ± 3.2% and 14.0 ± 5.1% in the mean muscular activity of the Biceps Brachii (BB), Anterior Deltoid (AD) and Extensor Digitorum Communis muscles, respectively. Additionally, we observed a reduction of 14.0 ± 11.5%, 14.7 ± 6.9% and 12.8 ± 4.4% in the coactivation of the pairs of muscles BB and Triceps Brachii (TB), BB and AD, and TB and Pectoralis Major (PM), respectively, typically associated to pathological muscular synergies, without significant degradation of healthy muscular coactivation. There was also a significant increase of elbow flexion angle (12.1±1.5°). These results further cement the potential of using lightweight wearable devices to assist impaired users.
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Nassour J, Zhao G, Grimmer M. Soft pneumatic elbow exoskeleton reduces the muscle activity, metabolic cost and fatigue during holding and carrying of loads. Sci Rep 2021; 11:12556. [PMID: 34131179 PMCID: PMC8206112 DOI: 10.1038/s41598-021-91702-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 05/17/2021] [Indexed: 10/26/2022] Open
Abstract
To minimize fatigue, sustain workloads, and reduce the risk of injuries, the exoskeleton Carry was developed. Carry combines a soft human-machine interface and soft pneumatic actuation to assist the elbow in load holding and carrying. We hypothesize that the assistance of Carry would decrease, muscle activity, net metabolic rate, and fatigue. With Carry providing 7.2 Nm of assistance, we found reductions of up to 50% for the muscle activity, up to 61% for the net metabolic rate, and up to 99% for fatigue in a group study of 12 individuals. Analyses of operation dynamics and autonomous use demonstrate the applicability of Carry to a variety of use cases, presumably with increased benefits for increased assistance torque. The significant benefits of Carry indicate this device could prevent systemic, aerobic, and/or possibly local muscle fatigue that may increase the risk of joint degeneration and pain due to lifting, holding, or carrying.
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Affiliation(s)
- John Nassour
- Department of Electrical and Computer Engineering, Technical University of Munich, 80333, Munich, Germany.
| | - Guoping Zhao
- Institute of Sport Science, Technical University Darmstadt, 64289, Darmstadt, Germany
| | - Martin Grimmer
- Institute of Sport Science, Technical University Darmstadt, 64289, Darmstadt, Germany.
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Proietti T, O'Neill C, Hohimer CJ, Nuckols K, Clarke ME, Zhou YM, Lin DJ, Walsh CJ. Sensing and Control of a Multi-Joint Soft Wearable Robot for Upper-Limb Assistance and Rehabilitation. IEEE Robot Autom Lett 2021. [DOI: 10.1109/lra.2021.3061061] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Missiroli F, Lotti N, Xiloyannis M, Sloot LH, Riener R, Masia L. Relationship Between Muscular Activity and Assistance Magnitude for a Myoelectric Model Based Controlled Exosuit. Front Robot AI 2021; 7:595844. [PMID: 33501357 PMCID: PMC7805765 DOI: 10.3389/frobt.2020.595844] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 11/09/2020] [Indexed: 11/25/2022] Open
Abstract
The growing field of soft wearable exosuits, is gradually gaining terrain and proposing new complementary solutions in assistive technology, with several advantages in terms of portability, kinematic transparency, ergonomics, and metabolic efficiency. Those are palatable benefits that can be exploited in several applications, ranging from strength and resistance augmentation in industrial scenarios, to assistance or rehabilitation for people with motor impairments. To be effective, however, an exosuit needs to synergistically work with the human and matching specific requirements in terms of both movements kinematics and dynamics: an accurate and timely intention-detection strategy is the paramount aspect which assume a fundamental importance for acceptance and usability of such technology. We previously proposed to tackle this challenge by means of a model-based myoelectric controller, treating the exosuit as an external muscular layer in parallel to the human biomechanics and as such, controlled by the same efferent motor commands of biological muscles. However, previous studies that used classical control methods, demonstrated that the level of device's intervention and effectiveness of task completion are not linearly related: therefore, using a newly implemented EMG-driven controller, we isolated and characterized the relationship between assistance magnitude and muscular benefits, with the goal to find a range of assistance which could make the controller versatile for both dynamic and static tasks. Ten healthy participants performed the experiment resembling functional daily activities living in separate assistance conditions: without the device's active support and with different levels of intervention by the exosuit. Higher assistance levels resulted in larger reductions in the activity of the muscles augmented by the suit actuation and a good performance in motion accuracy, despite involving a decrease of the movement velocities, with respect to the no assistance condition. Moreover, increasing torque magnitude by the exosuit resulted in a significant reduction in the biological torque at the elbow joint and in a progressive effective delay in the onset of muscular fatigue. Thus, contrarily to classical force and proportional myoelectric schemes, the implementation of an opportunely tailored EMG-driven model based controller affords to naturally match user's intention detection and provide an assistance level working symbiotically with the human biomechanics.
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Affiliation(s)
- Francesco Missiroli
- Institut für Technische Informatik (ZITI), Heidelberg University, Heidelberg, Germany
| | - Nicola Lotti
- Institut für Technische Informatik (ZITI), Heidelberg University, Heidelberg, Germany
| | - Michele Xiloyannis
- Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland
| | - Lizeth H Sloot
- Institut für Technische Informatik (ZITI), Heidelberg University, Heidelberg, Germany
| | - Robert Riener
- Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.,Spinal Cord Injury Center, Balgrist University Hospital, Medical Faculty, University of Zurich, Zurich, Switzerland
| | - Lorenzo Masia
- Institut für Technische Informatik (ZITI), Heidelberg University, Heidelberg, Germany
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O'Neill CT, McCann CM, Hohimer CJ, Bertoldi K, Walsh CJ. Unfolding Textile-Based Pneumatic Actuators for Wearable Applications. Soft Robot 2021; 9:163-172. [PMID: 33481682 DOI: 10.1089/soro.2020.0064] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Textile based pneumatic actuators have recently seen increased development for use in wearable applications thanks to their high strength to weight ratio and range of achievable actuation modalities. However, the design of these textile-based actuators is typically an iterative process due to the complexity of predicting the soft and compliant behavior of the textiles. In this work we investigate the actuation mechanics of a range of physical prototypes of unfolding textile-based actuators to understand and develop an intuition for how the geometric parameters of the actuator affect the moment it generates, enabling more deterministic designs in the future. Under benchtop conditions the actuators were characterized at a range of actuator angles and pressures (0 - 136 kPa), and three distinct performance regimes were observed, which we define as Shearing, Creasing, and Flattening. During Flattening, the effects of both the length and radius of the actuator dominate with maximum moments in excess of 80 Nm being generated, while during Creasing the radius dominates with generated moments scaling with the cube of the radius. Low stiffness spring like behavior is observed in the Shearing regime, which occurs as the actuator approaches its unfolded angle. A piecewise analytical model was also developed and compared to the experimental results within each regime. Finally, a prototype actuator was also integrated into a shoulder assisting wearable robot, and on-body characterization of this robot was performed on five healthy individuals to observe the behavior of the actuators in a wearable application. Results from this characterization highlight that these actuators can generate useful on-body moments (10.74 Nm at 90° actuator angle) but that there are significant reductions compared to bench-top performance, in particular when mostly folded and at higher pressures.
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Affiliation(s)
- Ciarán T O'Neill
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA.,Wyss Institute for Biologically Inspired Design, Harvard University, Boston, Massachusetts, USA
| | - Connor M McCann
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA.,Wyss Institute for Biologically Inspired Design, Harvard University, Boston, Massachusetts, USA
| | - Cameron J Hohimer
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA.,Wyss Institute for Biologically Inspired Design, Harvard University, Boston, Massachusetts, USA
| | - Katia Bertoldi
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA
| | - Conor J Walsh
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA.,Wyss Institute for Biologically Inspired Design, Harvard University, Boston, Massachusetts, USA
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Xiloyannis M, Alicea R, Georgarakis AM, Haufe FL, Wolf P, Masia L, Riener R. Soft Robotic Suits: State of the Art, Core Technologies, and Open Challenges. IEEE T ROBOT 2021. [DOI: 10.1109/tro.2021.3084466] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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