Results 81 to 90 of about 6,552 (226)

Case Study on Human Walking during Wearing a Powered Prosthetic Device: Effectiveness of the System “Human-Robot” [PDF]

, 2014
It is known that force exchanges between a robotic assistive device and the end-user have a direct impact on the quality and performance of a particular movement task. This knowledge finds a special reflective importance in prosthetic industry due to the
Au S. K., Bram Vanderborght, Chris Verheul, Dirk Lefeber, Pierre Cherelle, Ron S., Svetlana Grosu   +6 more
core   +1 more source

Newly developed hybrid assistive limb for pediatric patients with cerebral palsy: a case report

Journal of Physical Therapy Science, 2019
[Purpose] The effect of fitness training on improving walking ability in cerebral palsy is controversial. However, gait training with a wearable robot (hybrid assistive limb) has been reported to improve gait ability in patients with cerebral palsy. For pediatric patients, a smaller, lighter-weight hybrid assistive limb has been newly developed.
Nakagawa, Shogo, Mutsuzaki, Hirotaka, Mataki, Yuki, Endo, Yusuke, Matsuda, Mayumi, Yoshikawa, Kenichi, Kamada, Hiroshi, Yamazaki, Masashi   +7 more
openaire   +3 more sources

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Brain-machine interfaces for rehabilitation in stroke: A review [PDF]

, 2018
BACKGROUND: Motor paralysis after stroke has devastating consequences for the patients, families and caregivers. Although therapies have improved in the recent years, traditional rehabilitation still fails in patients with severe paralysis. Brain-machine
Birbaumer, N., Irastorza-Landa, N., López-Larraz, E., Ramos-Murguialday, A., Sarasola-Sanz, A.   +4 more
core   +2 more sources

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Muscle Synergies During Repetitive Stoop Lifting With a Bioelectrically-Controlled Lumbar Support Exoskeleton

Frontiers in Human Neuroscience, 2019
Lower back problems are common in the world, which leads to the development of various lumbar support exoskeletons to alleviate this problem. In general, previous studies evaluating lumbar support devices quantified assistance by reporting the reduction ...
Chun Kwang Tan, Hideki Kadone, Kousei Miura, Tetsuya Abe, Masao Koda, Masashi Yamazaki, Yoshiyuki Sankai, Yoshiyuki Sankai, Kenji Suzuki, Kenji Suzuki, Kenji Suzuki   +10 more
doaj   +1 more source

Comfort-Centered Design of a Lightweight and Backdrivable Knee Exoskeleton

, 2019
This paper presents design principles for comfort-centered wearable robots and their application in a lightweight and backdrivable knee exoskeleton. The mitigation of discomfort is treated as mechanical design and control issues and three solutions are ...
Carriero, Alessandra, Chen, Tianyao, Huang, Tzu-Hao, IEEE, Li, Xiao, Li, Yanjun, Member, Oh-Park, Mooyeon, Su*, Hao, Wang, Junlin, Yu, Shuangyue   +10 more
core  

Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces

, 2018
We propose a fusion approach that combines features from simultaneously recorded electroencephalographic (EEG) and magnetoencephalographic (MEG) signals to improve classification performances in motor imagery-based brain-computer interfaces (BCIs).
Bassett, Danielle S., Chavez, Mario, Corsi, Marie-Constance, Fallani, Fabrizio De Vico, Hugueville, Laurent, Khambhati, Ankit N., Schwartz, Denis   +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

Differences in Muscle Synergy Symmetry Between Subacute Post-stroke Patients With Bioelectrically-Controlled Exoskeleton Gait Training and Conventional Gait Training

Frontiers in Bioengineering and Biotechnology, 2020
Understanding the reorganization of the central nervous system after stroke is an important endeavor in order to design new therapies in gait training for stroke patients.
Chun Kwang Tan, Chun Kwang Tan, Hideki Kadone, Hideki Kadone, Hiroki Watanabe, Aiki Marushima, Yasushi Hada, Masashi Yamazaki, Yoshiyuki Sankai, Yoshiyuki Sankai, Akira Matsumura, Kenji Suzuki, Kenji Suzuki, Kenji Suzuki   +13 more
doaj   +1 more source