4 papers
DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration
Haoran Liao, Pengyue Wang, Shuoyu Chen +10
Dynamic manipulation is a critical capability for robots operating in complex and dynamic environments, where robots must interact with objects that are moving or require rapid adj…
Enhancing Event Reconstruction in Hyper-Kamiokande with Machine Learning: A ResNet Implementation
Andrew Atta, Nick Prouse, Shuoyu Chen +4
The forthcoming Hyper-Kamiokande experiment requires substantially larger Monte Carlo datasets than previous experiments to satisfy stringent systematic-uncertainty requirements. W…
BiDexGrasp: Coordinated Bimanual Dexterous Grasps across Object Geometries and Sizes
Mu Lin, Yi-Lin Wei, Jiaxuan Chen +7
Bimanual dexterous grasping is a fundamental and promising area in robotics, yet its progress is constrained by the lack of comprehensive datasets and powerful generation models. I…
OmniDexGrasp: Generalizable Dexterous Grasping via Foundation Model and Force Feedback
Yi-Lin Wei, Zhexi Luo, Yuhao Lin +4
Enabling robots to dexterously grasp and manipulate objects based on human commands is a promising direction in robotics. However, existing approaches are challenging to generalize…