Results 221 to 230 of about 56,160 (238)
Some of the next articles are maybe not open access.

Variable-Impedance Muscle Coordination under Slow-Rate Control Frequencies and Limited Observation Conditions Evaluated through Legged Locomotion

arXiv.org
Human motor control remains agile and robust despite limited sensory information for feedback, a property attributed to the body's ability to perform morphological computation through muscle coordination with variable impedance.
Hidaka Asai, T. Noda, Jun Morimoto
semanticscholar   +1 more source

Offline Reinforcement Learning-Based Adaptive Impedance Control for Variable Force Tracking in Robotic Ultrasound Scanning

IEEE International Conference on Robotics and Biomimetics
Robotic ultrasound scanning (RUSS) has become a promising solution to standardize ultrasound (US) examinations and relieve the workload of sonographers.
Liang Yao   +9 more
semanticscholar   +1 more source

A Variable Impedance Skill Learning Algorithm Based on Kernelized Movement Primitives

IEEE transactions on industrial electronics (1982. Print)
This article proposes a novel learning from demonstrations (LfD) method based on kernelized movement primitives (KMP). The original KMP algorithm is excellent at generalizing and handling high-dimensional inputs, but it is slightly inadequate in ...
Andong Liu   +3 more
semanticscholar   +1 more source

Teleoperation With Haptic Sensor-Aided Variable Impedance Control Based on Environment and Human Stiffness Estimation

IEEE Sensors Journal
This article proposes a novel haptic-sensor-assisted variable impedance controller (VIC) for the position–force teleoperation architecture, which measures both the environment and human operating stiffness for controller design. The VIC is widely studied
Zican Wang   +5 more
semanticscholar   +1 more source

Impedance Learning-Based Adaptive Force Tracking for Robot on Unknown Terrains

IEEE Transactions on robotics
Aiming at the robust force tracking challenge for robots in continuous contact with uncertain environments, a novel adaptive variable impedance control policy based on deep reinforcement learning (DRL) is proposed in this article.
Yanghong Li   +4 more
semanticscholar   +1 more source

Variable Impedance Control using Deep Geometric Potential Fields

IFAC-PapersOnLine
: In this paper, we present a novel strategy for developing control mechanisms for fully actuated mechanical systems evolving on manifolds utilizing the representative power of neural networks.
Nikhil Potu Surya Prakash   +4 more
semanticscholar   +1 more source

Disagreement-Aware Variable Impedance Control for Online Learning of Physical Human-Robot Cooperation Tasks

2022
Workshop at ICRA 2022, May 22-27 ...
van der Spaa, L.F. (author)   +3 more
openaire   +1 more source

Editorial Variable Impedance Control and Learning in Complex Interaction Scenarios: Challenges and Opportunities

IEEE Robotics and Automation Letters, 2022
Abu-Dakka, Fares J.   +5 more
openaire   +1 more source

Model-based Reinforcement Learning Variable Impedance Control for 1-DOF PAM Elbow Exokeleton

2021 China Automation Congress (CAC), 2021
Zhirui Zhao   +5 more
openaire   +1 more source

Model Predictive Variable Impedance Control of Manipulators for Adaptive Precision-Compliance Tradeoff

IEEE/ASME Transactions on Mechatronics, 2023
Zhehao Jin, Dongdong Qin, Andong Liu
exaly  

Home - About - Disclaimer - Privacy