An imitation learning framework with inherent stability for motion planning and its application to space manipulation tasks
Published online on September 30, 2025
Abstract
Measurement and Control, Ahead of Print.
As robots are required to conduct versatile manipulations in unstructured space environments, traditional planning and control strategies may become cumbersome or even infeasible. To overcome this challenge, the paper presents imitation learning with ...
As robots are required to conduct versatile manipulations in unstructured space environments, traditional planning and control strategies may become cumbersome or even infeasible. To overcome this challenge, the paper presents imitation learning with ...