2022
A Reinforcement Learning Approach in Assignment of Task Priorities in Kinematic Control of Redundant Robots
RA-L 2022
Based on the recent advances of Deep Reinforcement Learning (DRL) and promising results, in this paper, we propose a framework for strict priority assignment in the context of kinematic control of redundant robots. The presented method focuses on redundant robots performing multiple concurrent tasks