A soft, synergy-based robotic glove for grasping assistance

被引:21
作者
Alicea, Ryan [1 ]
Xiloyannis, Michele [2 ,3 ]
Chiaradia, Domenico [4 ]
Barsotti, Michele [4 ]
Frisoli, Antonio [4 ]
Masia, Lorenzo [1 ]
机构
[1] Heidelberg Univ, Inst Comp Engn ZITI, Assist Robot & Interact ExoSuits ARIES Lab, Heidelberg, Germany
[2] Swiss Fed Inst Technol, Sensory Motor Syst SMS Lab, Inst Robot & Intelligent Syst IRIS, Zurich, Switzerland
[3] Univ Zurich, Univ Hosp Balgrist, Spinal Cord Injury Ctr, Zurich, Switzerland
[4] TeCIP Inst, Scuola Super St Anna, Perceptual Robot PERCRO Lab, Pisa, Italy
来源
WEARABLE TECHNOLOGIES | 2021年 / 2卷
关键词
Wearable robotics; assistive technology; exosuit; SPINAL-CORD-INJURY; WEARABLE-ROBOT; TENDON-DRIVEN; ADULT NORMS; HAND; EXOSKELETON; EMPLOYMENT; DESIGN; FORCE;
D O I
10.1017/wtc.2021.3
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This paper presents a soft, tendon-driven, robotic glove designed to augment grasp capability and provide rehabilitation assistance for postspinal cord injury patients. The basis of the design is an underactuation approach utilizing postural synergies of the hand to support a large variety of grasps with a single actuator. The glove is lightweight, easy to don, and generates sufficient hand closing force to assist with activities of daily living. Device efficiency was examined through a characterization of the power transmission elements, and output force production was observed to be linear in both cylindrical and pinch grasp configurations. We further show that, as a result of the synergy-inspired actuation strategy, the glove only slightly alters the distribution of forces across the fingers, compared to a natural, unassisted grasping pattern. Finally, a preliminary case study was conducted using a participant suffering from an incomplete spinal cord injury (C7). It was found that through the use of the glove, the participant was able to achieve a 50% performance improvement (from four to six blocks) in a standard Box and Block test.
引用
收藏
页数:20
相关论文
共 72 条
[1]   Functional classification of grasp strategies used by hemiplegic patients [J].
Alvarez, Alicia Garcia ;
Roby-Brami, Agnes ;
Robertson, Johanna ;
Roche, Nicolas .
PLOS ONE, 2017, 12 (11)
[2]  
Arata J, 2013, IEEE INT CONF ROBOT, P3902, DOI 10.1109/ICRA.2013.6631126
[3]   A biologically inspired soft exosuit for walking assistance [J].
Asbeck, Alan T. ;
De Rossi, Stefano M. M. ;
Holt, Kenneth G. ;
Walsh, Conor J. .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2015, 34 (06) :744-762
[4]  
Aubin Patrick M, 2013, IEEE Int Conf Rehabil Robot, V2013, P6650500, DOI 10.1109/ICORR.2013.6650500
[5]   A soft robotic exosuit improves walking in patients after stroke [J].
Awad, Louis N. ;
Bae, Jaehyun ;
O'Donnell, Kathleen ;
De Rossi, Stefano M. M. ;
Hendron, Kathryn ;
Sloot, Lizeth H. ;
Kudzia, Pawel ;
Allen, Stephen ;
Holt, Kenneth G. ;
Ellis, Terry D. ;
Walsh, Conor J. .
SCIENCE TRANSLATIONAL MEDICINE, 2017, 9 (400)
[6]   Modelling natural and artificial hands with synergies [J].
Bicchi, Antonio ;
Gabiccini, Marco ;
Santello, Marco .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2011, 366 (1581) :3153-3161
[7]  
Burns M.K., 2020, Advances in Motor Neuroprostheses, P71, DOI [10.1007/978-3-030-38740-2_5, DOI 10.1007/978-3-030-38740-2_5]
[8]   Assisting hand function after spinal cord injury with a fabric-based soft robotic glove [J].
Cappello, Leonardo ;
Meyer, Jan T. ;
Galloway, Kevin C. ;
Peisner, Jeffrey D. ;
Granberry, Rachael ;
Wagner, Diana A. ;
Engelhardt, Sven ;
Paganoni, Sabrina ;
Walsh, Conor J. .
JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2018, 15
[9]   Adaptive synergies for the design and control of the Pisa/IIT SoftHand [J].
Catalano, M. G. ;
Grioli, G. ;
Farnioli, E. ;
Serio, A. ;
Piazza, C. ;
Bicchi, A. .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2014, 33 (05) :768-782
[10]   Exoskeleton-Robot Assisted Therapy in Stroke Patients: A Lesion Mapping Study [J].
Cerasa, Antonio ;
Pignolo, Loris ;
Gramigna, Vera ;
Serra, Sebastiano ;
Olivadese, Giuseppe ;
Rocca, Federico ;
Perrotta, Paolo ;
Dolce, Giuliano ;
Quattrone, Aldo ;
Tonin, Paolo .
FRONTIERS IN NEUROINFORMATICS, 2018, 12