About this document
Robot Learning of Mobile Manipulation With Reachability Behavior Priors by rishi27reddy is a document available to read on EtoBox.
This document presents a novel approach to Mobile Manipulation (MM) using reinforcement learning (RL) that incorporates reachability behavior priors to enhance learning efficiency in unstructured environments. The proposed Boosted Hybrid Reinforcement Learning (BHyRL) method combines discrete and continuous action decisions, allowing robots to better coordinate their movements for tasks like reaching and fetching. The results demonstrate improved performance in simulations and real-world applications with t
- Author
- rishi27reddy
- Language
- EN