Patent Review of Lower Limb Rehabilitation Robotic Systems by Sensors and Actuation Systems Used
Robotic systems for lower limb rehabilitation are essential for improving patients' physical
conditions in lower limb rehabilitation and assisting patients with various locomotor …
conditions in lower limb rehabilitation and assisting patients with various locomotor …
Latent exploration for reinforcement learning
AS Chiappa, A Marin Vargas… - Advances in Neural …, 2024 - proceedings.neurips.cc
Abstract In Reinforcement Learning, agents learn policies by exploring and interacting with
the environment. Due to the curse of dimensionality, learning policies that map high …
the environment. Due to the curse of dimensionality, learning policies that map high …
AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review
Over the past few years, there has been a noticeable surge in efforts to design novel tools
and approaches that incorporate Artificial Intelligence (AI) into rehabilitation of persons with …
and approaches that incorporate Artificial Intelligence (AI) into rehabilitation of persons with …
Experiment-free exoskeleton assistance via learning in simulation
Exoskeletons have enormous potential to improve human locomotive performance,–.
However, their development and broad dissemination are limited by the requirement for …
However, their development and broad dissemination are limited by the requirement for …
Dep-rl: Embodied exploration for reinforcement learning in overactuated and musculoskeletal systems
Muscle-actuated organisms are capable of learning an unparalleled diversity of dexterous
movements despite their vast amount of muscles. Reinforcement learning (RL) on large …
movements despite their vast amount of muscles. Reinforcement learning (RL) on large …
Subject specific optimal control of powered knee exoskeleton to assist human lifting tasks under controlled environment
Wearable robots, sometimes known as exoskeletons, are incredible devices for improving
human strength, reducing fatigue, and restoring impaired mobility. The control of powered …
human strength, reducing fatigue, and restoring impaired mobility. The control of powered …
Advancements in Sensor Technologies and Control Strategies for Lower-Limb Rehabilitation Exoskeletons: A Comprehensive Review
Lower-limb rehabilitation exoskeletons offer a transformative approach to enhancing
recovery in patients with movement disorders affecting the lower extremities. This …
recovery in patients with movement disorders affecting the lower extremities. This …
Physics-informed Deep Learning for Muscle Force Prediction with Unlabeled sEMG Signals
S Ma, J Zhang, C Shi, P Di… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Computational biomechanical analysis plays a pivotal role in understanding and improving
human movements and physical functions. Although physics-based modeling methods can …
human movements and physical functions. Although physics-based modeling methods can …
[PDF][PDF] Exploring Challenges and Opportunities of Wearable Robots: A Comprehensive Review of Design, Human-Robot Interaction and Control Strategy
The aging population and increased number of individuals with motor dysfunction pose
significant challenges to the workforce. This situation is further exacerbated by a declining …
significant challenges to the workforce. This situation is further exacerbated by a declining …
Predicting sit-to-stand motions with a deep reinforcement learning based controller under idealized exoskeleton assistance
Maintaining the capacity for sit-to-stand transitions is paramount for preserving functional
independence and overall mobility in older adults and individuals with musculoskeletal …
independence and overall mobility in older adults and individuals with musculoskeletal …