5 papers
Learning Geometry-Aware Nonprehensile Pushing and Pulling with Dexterous Hands
Yunshuang Li, Yiyang Ling, Gaurav S. Sukhatme +1
Nonprehensile manipulation, such as pushing and pulling, enables robots to move, align, or reposition objects that may be difficult to grasp due to their geometry, size, or relatio…
Task-Oriented Hierarchical Object Decomposition for Visuomotor Control
Jianing Qian, Yunshuang Li, Bernadette Bucher +1
Good pre-trained visual representations could enable robots to learn visuomotor policy efficiently. Still, existing representations take a one-size-fits-all-tasks approach that com…
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
Zichen Zhang, Yunshuang Li, Osbert Bastani +4
Real-world robotic tasks stretch over extended horizons and encompass multiple stages. Learning long-horizon manipulation tasks, however, is a long-standing challenge, and demands…
Control of Pneumatic Artificial Muscles with SNN-based Cerebellar-like Model
Hongbo Zhang, Yunshuang Li, Yipin Guo +2
Soft robotics technologies have gained growing interest in recent years, which allows various applications from manufacturing to human-robot interaction. Pneumatic artificial muscl…
Collaborative Recognition of Feasible Region with Aerial and Ground Robots through DPCN
Yunshuang Li, Zheyuan Huang, Zexi chen +2
Ground robots always get collision in that only if they get close to the obstacles, can they sense the danger and take actions, which is usually too late to avoid the crash, causin…