2 citations · 5 across the 7 of their papers we have counts for
6 papers · 1 filter
World Models for Robotic Manipulation: A Survey
Fangyuan Wang, Ziyuan Wang, Guorui Pei +15
Robotic manipulation depends on the ability to anticipate how actions reshape objects, contacts, and scene geometry before execution. Learned world models provide this capability b…
Collaborative Assembly Policy Learning of a Sightless Robot
Zeqing Zhang, Weifeng Lu, Lei Yang +3
This paper explores a physical human-robot collaboration (pHRC) task involving the joint insertion of a board into a frame by a sightless robot and a human operator. While admittan…
A Haptic-Based Proximity Sensing System for Buried Object in Granular Material
Zeqing Zhang, Ruixing Jia, Youcan Yan +5
The proximity perception of objects in granular materials is significant, especially for applications like minesweeping. However, due to particles' opacity and complex properties,…
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
Ruihua Han, Shuai Wang, Shuaijun Wang +8
Navigating a nonholonomic robot in a cluttered, unknown environment requires accurate perception and precise motion control for real-time collision avoidance. This paper presents N…
CafkNet: GNN-Empowered Forward Kinematic Modeling for Cable-Driven Parallel Robots
Zeqing Zhang, Linhan Yang, Cong Sun +2
Cable-driven parallel robots (CDPRs) have gained significant attention due to their promising advantages. When deploying CDPRs in practice, the kinematic modeling is a key question…
An Interval Branch-and-Bound-Based Inverse Kinemetics Algorithm Towards Global Optimal Redundancy Resolution
Yajue Yang, Zeqing Zhang, Yuanqing Wu +1
The general inverse kinematics (IK) problem of a manipulator, namely that of acquiring the self-motion manifold (SMM) of all admissible joint angles for a desired end-effector pose…