Dingkun Liang — accepted AI-conference papers

2026

ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Using Lightweight Polygon Maps

Haiming Gao, Qibo Qiu, Hongyan Liu, Dingkun Liang, Chaoqun Wang, Xuebo Zhang

ICRA 2026poster

This paper presents an effective and reliable pose tracking solution, termed ERPoT, for mobile robots operating in large-scale outdoor and challenging indoor environments, underpinned by an innovative prior polygon map. Especially, to overcome the challenge that arises as the map size grows with the…

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2024

Frame-By-Frame Motion Retargeting With Self-Collision Avoidance From Diverse Human Demonstrations

Bosheng Zheng, Dingkun Liang, Qiulan Huang, Yun Liu, Pu Zhang, Minhong Wan +2

RA-L 2024

Human-robot motion retargeting is a complex nonlinear problem, due to heterogeneous kinematic configuration between human and robot. Recent efforts aim to tackle the generalizability of motion retargeting on diverse robots, yet challenges persist in handling unseen human motions with varying scales

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