Results 61 to 70 of about 21,741 (288)

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Statics Analysis and Structure Parameter Design of the Lower Limb Rehabilitation Robot

Jixie chuandong, 2015
The lower limb rehabilitation robot is an automated functional rehabilitation equipment,with a scientific and reasonable rehabilitation conditions,the patients can make their lower extremity motor function get good recovery.
Cui Bingyan, Chen Liwen, Wang Zhijun, Li Zhanxian   +3 more
doaj  

Technology-assisted stroke rehabilitation in Mexico: a pilot randomized trial comparing traditional therapy to circuit training in a Robot/technology-assisted therapy gym [PDF]

, 2016
Background Stroke rehabilitation in low- and middle-income countries, such as Mexico, is often hampered by lack of clinical resources and funding. To provide a cost-effective solution for comprehensive post-stroke rehabilitation that can alleviate the ...
A Fugl-Meyer, A Go, A Jiménez-Cruz, A Kamps, A Lo, A Pehlivan, A Timmermans, Adan Burciaga, Agency for Health Care Policy and Research, B Ovbiagele, B Ovbiagele, C English, C English, C Kugler, C Mathers, C Patten, D Gladstone, D Podsiadlo, D Wilson, E Brokaw, G Alon, G Guyatt, G Kwakkel, G Mensah, G Prange, H Horne-Moyer, I Boutron, INEGI, J Addo, J Cohen, J Fleg, J Hausdorf, J Krakauer, J Mackay, J Mehrholz, J Perry, J Scott, J Semrau, J Stein, J Tilson, K Diserens, K Tolep, Karla Bustamante Valles, L Dovat, L Frost, L Skolarus, L Wevers, L Yong Joo, Laboratories, A.C.o.P.S.f.C.P.F, M Brault, M Johnson, M Johnson, M Rohling, Maria de Jesus Madrigal, María Elena Martínez, Michelle J. Johnson, N Aziz, N Norouzi-Gheidari, P Duncan, P Duncan, P Langhorne, P Langhorne, P Lum, R Bohannon, R Buschfort, R Loureiro, R Riener, R Ruparel, R Seitz, S Bagg, S Hesse, S Hesse, S Hesse, S Housman, S Linder, S Schwartz, S Secretaria de Salud, Sandra Montes, T Nef, T Wagner, V Feigin, V Mathiowetz, World Health Organization, W.H.O   +82 more
core   +2 more sources

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Unilateral Ankle‐Foot Exoneuromusculoskeleton with Balance‐Sensing Feedback for Self‐Help Telerehabilitation after Stroke

Advanced Robotics Research, EarlyView.
This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye, Wei Rong, Waiming Li, Kwok‐Ting Wong, Man‐Kit Pang, Hon‐Wah Wai, Lilly Li, Zicong Hong, Song Guo, Zong‐Hao Ma, Yongping Zheng, Ming Zhang, Nicholas Chow, Jianing Zhang, Xiaoling Hu, Fei Chen, Waisang Poon   +16 more
wiley   +1 more source

Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges [PDF]

, 2010
In recent years, new research has brought the field of EEG-based Brain-Computer Interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer ...
Cincott, F., del R. Millan, J., Giugliemma, C., Kubler, A., Leeb, R., Mattia, D., Muller, K.R., Muller-Putz, G., Murray-Smith, R., Neuper, C., Rupp, R., Tangermann, M., Vidaurre, C.   +12 more
core   +7 more sources

Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb [PDF]

, 2013
In this work we explore the use of reinforcement learning (RL) to help with human decision making, combining state-of-the-art RL algorithms with an application to prosthetics. Managing human-machine interaction is a problem of considerable scope, and the
Dawson, Michael Rory, Edwards, Ann L., Kearney, Alexandra, Pilarski, Patrick M., Sutton, Richard S.   +4 more
core   +1 more source

Interventions for improving upper limb function after stroke [PDF]

, 2013
Background: Improving upper limb function is a core element of stroke rehabilitation needed to maximise patient outcomes and reduce disability. Evidence about effects of individual treatment techniques and modalities is synthesised within many reviews ...
Brady, Marian C., Farmer, Sybil E., Langhorne, Peter, Mead, Gillian E., Mehrholz, Jan, Pollock, Alex, van Wijck, Frederike   +6 more
core   +3 more sources

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Joint Motion Control for Lower Limb Rehabilitation Based on Iterative Learning Control (ILC) Algorithm

Complexity, 2021
At present, the motion control algorithms of lower limb exoskeleton robots have errors in tracking the desired trajectory of human hip and knee joints, which leads to poor follow-up performance of the human-machine system.
Wei Guan, Lan Zhou, YouShen Cao
doaj   +1 more source