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cs.LG2025★ 1 cited
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
Wenxuan Li, Hang Zhao, Zhiyuan Yu +4
While non-prehensile manipulation (e.g., controlled pushing/poking) constitutes a foundational robotic skill, its learning remains challenging due to the high sensitivity to comple…
cs.LG2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments
Xiong-Hui Chen, Junyin Ye, Hang Zhao +9
Imitation learning (IL) enables agents to mimic expert behaviors. Most previous IL techniques focus on precisely imitating one policy through mass demonstrations. However, in many…
cs.LG2022
Learning Physically Realizable Skills for Online Packing of General 3D Shapes
Hang Zhao, Zherong Pan, Yang Yu +1
We study the problem of learning online packing skills for irregular 3D shapes, which is arguably the most challenging setting of bin packing problems. The goal is to consecutively…