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Qijin She

3 accepted papers

2024

Learning Cross-hand Policies of High-DOF Reaching and Grasping

ECCV 2024poster

"Reaching-and-grasping is a fundamental skill for robotic manipulation, but existing methods usually train models on a specific gripper and cannot be reused on another gripper. In this paper, we propose a novel method that can learn a unified policy model that can be easily transferred to different…

Cited by 3SourcePDFScholar
2024

Learning Dual-arm Object Rearrangement for Cartesian Robots

ICRA 2024poster

This work focuses on the dual-arm object rearrangement problem abstracted from a realistic industrial scenario of Cartesian robots. The goal of this problem is to transfer all the objects from sources to targets with the minimum total completion time. To achieve the goal, the core idea is to develop…

Cited by 0SourceScholar
2021

Online 3D Bin Packing with Constrained Deep Reinforcement Learning

AAAI 2021technical

We solve a challenging yet practically useful variant of 3D Bin Packing Problem (3D-BPP). In our problem, the agent has limited information about the items to be packed into a single bin, and an item must be packed immediately after its arrival without buffering or readjusting. The item's placement…