Results 91 to 100 of about 12,399 (288)

Liquid Metal Sensors for Soft Robots

Advanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang, Nan Li, Yujia Song, Chen Hua, Tangzhen Guan, Yibing Ma, Cai Cheng, Jing Liu   +7 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Effects of robot-assisted gait training in stroke patients

Acta Fisiátrica, 2015
Stroke patients present significant gait deficits due to the complexity of their disabilities. Robot-assisted gait training (RGT), in addition to reducing the therapist’s physical overload, ensures a simpler and safer environment for gait training, in which symmetrical and constant movement patterns of the lower limbs can be developed at higher speeds,
Juliana Morales Ronchi, Pedro Cláudio Gonsales de Castro, Maria Cecília dos Santos Moreira   +2 more
openaire   +1 more source

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

Robotic Resistance/Assistance Training Improves Locomotor Function in Individuals Poststroke: A Randomized Controlled Study [PDF]

, 2014
Objective To determine whether providing a controlled resistance versus assistance to the paretic leg at the ankle during treadmill training will improve walking function in individuals poststroke.
Kim, Janis, Landry, Jill M., MacDonald, Jillian, Schmit, Brian D., Wu, Ming, Yen, Sheng-Che   +5 more
core   +2 more sources

Self-selected speed gait training in Parkinson's disease: robot-assisted gait training with virtual reality versus gait training on the ground

European Journal of Physical and Rehabilitation Medicine, 2019
Background: Parkinson's disease (PD) is a neurodegenerative disorder causing progressive gait disability. Although robot-assisted gait training (RAGT) using the Lokomat device has been demonstrated to improve gait in PD, it is not clear what the best training settings are, in particular if a self-selected treadmill speed can give better results.
Cira, Fundarò, Roberto, Maestri, Giorgio, Ferriero, Pierluigi, Chimento, Taveggia Giovanni, Casale Roberto   +5 more
openaire   +2 more sources

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Does repetitive task training improve functional activity after stroke? A Cochrane systematic review and meta-analysis. [PDF]

, 2010
Repetitive task training resulted in modest improvement across a range of lower limb outcome measures, but not upper limb outcome measures. Training may be sufficient to have a small impact on activities of daily living.
Forster, Anne, French, Beverley, Langhorne, Peter, Leathley, Michael John, McAdam, Joanna, Price, Christopher, Sutton, Chris J, Thomas, Lois Helene, Walker, Andrew, Watkins, Caroline Leigh   +9 more
core   +2 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

Real-time Hybrid Locomotion Mode Recognition for Lower-limb Wearable Robots [PDF]

, 2017
Real-time recognition of locomotion-related activities is a fundamental skill that the controller of lower-limb wearable robots should possess. Subject-specific training and reliance on electromyographic interfaces are the main limitations of existing ...
Crea, Simona, Lova, Raffaele Molino, Marconi, Dario, Munih, Marko, Parri, Andrea, Vitiello, Nicola, Wang, Qining, Yan, Tingfang, Yuan, Kebin   +8 more
core   +1 more source