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Zaixing He

2 accepted papers

2026

DICArt: Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces

CVPR 2026

Articulated object pose estimation is a core task in embodied AI and computer vision. Existing methods typically regress poses in a continuous space, but often struggle with 1) navigating a large, complex search space and 2) failing to incorporate intrinsic kinematic constraints. In this paper, we i

Cited by 0SourceScholar
2026

Force Policy: Learning Hybrid Force-Position Control Policy under Interaction Frame for Contact-Rich Manipulation

RSS 2026poster

Contact-rich manipulation demands human-like integration of perception and force feedback: vision should guide task progress, while high-frequency interaction control must stabilize contact under uncertainty. Existing learning-based policies often entangle these roles in a monolithic network, tradin…

Cited by 0SourceScholar