no code implementations • 24 Jan 2024 • Shoujie Li, Ran Yu, Tong Wu, JunWen Zhong, Xiao-Ping Zhang, Wenbo Ding
In this work, we propose a framework named GExp, which enables robots to explore and learn autonomously without human intervention.
no code implementations • 14 Dec 2022 • Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, DaCheng Tao
On the other hand, the safe agent mimics the baseline agent for policy improvement and learns to fulfill safety constraints via off-policy RL tuning.
no code implementations • 30 Nov 2022 • Shoujie Li, Haixin Yu, Wenbo Ding, Houde Liu, Linqi Ye, Chongkun Xia, Xueqian Wang, Xiao-Ping Zhang
Here, a visual-tactile fusion framework for transparent object grasping under complex backgrounds and variant light conditions is proposed, including the grasping position detection, tactile calibration, and visual-tactile fusion based classification.