2 papers
cs.RO2025
Reinforcement Learning for Robotic Safe Control with Force Sensing
Nan Lin, Linrui Zhang, Yuxuan Chen +5
For the task with complicated manipulation in unstructured environments, traditional hand-coded methods are ineffective, while reinforcement learning can provide more general and u…
cs.RO2020
NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
Nan Lin, Yuxuan Li, Yujun Zhu +6
Traditionally, reinforcement learning methods predict the next action based on the current state. However, in many situations, directly applying actions to control systems or robot…