4 citations · 7 across the 5 of their papers we have counts for
5 papers
A Visual Reinforcement Learning-Based Separate Primitive Policy for Peg-in-Hole Tasks
Zichun Xu, Zhaomin Wang, Yuntao Li +4
For peg-in-hole tasks, humans rely on binocular visual perception to locate the peg above the hole surface and then proceed with insertion. This paper draws insights from this beha…
Transformer-Enhanced Motion Planner: Attention-Guided Sampling for State-Specific Decision Making
Lei Zhuang, Jingdong Zhao, Yuntao Li +3
Sampling-based motion planning (SBMP) algorithms are renowned for their robust global search capabilities. However, the inherent randomness in their sampling mechanisms often resul…
Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator
Zichun Xu, Yuntao Li, Xiaohang Yang +3
This paper presents three open-source reinforcement learning environments developed on the MuJoCo physics engine with the Franka Emika Panda arm in MuJoCo Menagerie. Three represen…
PetLock:A Genderless and Standard Interface for the Future On-orbit Construction
Yuntao Li, Zichun Xu, Xiaohang Yang +3
Modular design is the foundation of on orbit construction technology of large space facilities in the future.Standard interface is the key technology of modular design of the futur…
A Combined Inverse Kinematics Algorithm Using FABRIK with Optimization
Zichun Xu, Yuntao Li, Xiaohang Yang +3
Forward and backward reaching inverse kinematics (FABRIK) is a heuristic inverse kinematics solver that is gradually applied to manipulators with the advantages of fast convergence…