Growing from Exploration: A self-exploring framework for robots based on foundation models

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.

Few-Shot Learning

Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning

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.

reinforcement-learning Reinforcement Learning (RL) +1

Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds

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.

Classification Position +1