Media Summary: In this video we illustrated the application of a policy learned using model-free reinforcement Learning Variable Impedance Control for Contact Sensitive Tasks Speaker - Antonio Bicchi Abstract - Humans are able to modulate their mechanical
Learning Variable Impedance Control - Detailed Analysis & Overview
In this video we illustrated the application of a policy learned using model-free reinforcement Learning Variable Impedance Control for Contact Sensitive Tasks Speaker - Antonio Bicchi Abstract - Humans are able to modulate their mechanical Maxon Motor Robotic Symposium Presentation - MPC based variable impedance learning control Authors: Shreyas Kumar, Ravi Prakash Description Reinforcement
Mr. Changhao Wang University of California, Berkeley Title of The talk: Safe OnGO-VIC: Online Gain Optimization for ROS-based control system for Universal Robots UR5. The proposed control algorithm is based on a Safe and Optimal Variable Impedance Control via Certified Reinforcement Learning
