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20242026
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cs.RO2026

Learning Asynchronous Upper-body Task-space Trajectory Tracking Policy for Humanoid Robots

Yumeng Liu, Dongqi Wang, Jiyu Yu +3

High-level humanoid planners often output sparse task-space, low-rate trajectories, whereas whole-body controllers run at high frequency. This creates temporal asynchrony between t…

cs.RO20251 cited

Neural Ranging Inertial Odometry

Si Wang, Bingqi Shen, Fei Wang +3

Ultra-wideband (UWB) has shown promising potential in GPS-denied localization thanks to its lightweight and drift-free characteristics, while the accuracy is limited in real scenar…

cs.RO2025

A Whole-Body Motion Imitation Framework from Human Data for Full-Size Humanoid Robot

Zhenghan Chen, Haodong Zhang, Dongqi Wang +4

Motion imitation is a pivotal and effective approach for humanoid robots to achieve a more diverse range of complex and expressive movements, making their performances more human-l…

cs.RO2025

Natural Humanoid Robot Locomotion with Generative Motion Prior

Haodong Zhang, Liang Zhang, Zhenghan Chen +3

Natural and lifelike locomotion remains a fundamental challenge for humanoid robots to interact with human society. However, previous methods either neglect motion naturalness or r…

cs.RO2025

Compliance while resisting: a shear-thickening fluid controller for physical human-robot interaction

Lu Chen, Lipeng Chen, Xiangchi Chen +6

Physical human-robot interaction (pHRI) is widely needed in many fields, such as industrial manipulation, home services, and medical rehabilitation, and puts higher demands on the…

cs.RO2024

Pretraining-finetuning Framework for Efficient Co-design: A Case Study on Quadruped Robot Parkour

Ci Chen, Jiyu Yu, Haojian Lu +3

In nature, animals with exceptional locomotion abilities, such as cougars, often possess asymmetric fore and hind legs. This observation inspired us: could optimizing the leg lengt…