Bangyu Qin — accepted AI-conference papers

2025

Think on Your Feet: Seamless Transition Between Human-Like Locomotion in Response to Changing Commands

Huaxing Huang, Wenhao Cui, Tonghe Zhang, Shengtao Li, Jinchao Han, Bangyu Qin +6

ICRA 2025

While it is relatively easier to train humanoid robots to mimic specific locomotion skills, it is more challenging to learn from various motions and adhere to continuously changing commands. These robots must accurately track motion instructions, seamlessly transition between a variety of movements,

Cited by 2 Source ↗Scholar ↗

2024

Adapting Humanoid Locomotion over Challenging Terrain via Two-Phase Training

Wenhao Cui, Shengtao Li, Huaxing Huang, Bangyu Qin, Tianchu Zhang, hanjinchao +6

CoRL 2024poster

Humanoid robots are a key focus in robotics, with their capacity to navigate tough terrains being essential for many uses. While strides have been made, creating adaptable locomotion for complex environments is still tough. Recent progress in learning-based systems offers hope for robust legged loco…

Cited by 4 Source ↗Scholar ↗