1 citations · 1 across the 5 of their papers we have counts for
5 papers
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
Hierarchical Deformation Planning and Neural Tracking for DLOs in Constrained Environments
Yunxi Tang, Tianqi Yang, Jing Huang +2
Deformable linear objects (DLOs) manipulation presents significant challenges due to DLOs' inherent high-dimensional state space and complex deformation dynamics. The wide-populate…
Manipulating Elasto-Plastic Objects With 3D Occupancy and Learning-Based Predictive Control
Zhen Zhang, Xiangyu Chu, Yunxi Tang +4
Manipulating elasto-plastic objects remains a significant challenge due to severe self-occlusion, difficulties of representation, and complicated dynamics. This work proposes a nov…
Learning to Hop for a Single-Legged Robot with Parallel Mechanism
Hongbo Zhang, Xiangyu Chu, Yanlin Chen +4
This work presents the application of reinforcement learning to improve the performance of a highly dynamic hopping system with a parallel mechanism. Unlike serial mechanisms, para…
Homotopic Path Set Planning for Robot Manipulation and Navigation
Jing Huang, Yunxi Tang, Kwok Wai Samuel Au
This paper addresses path set planning that yields important applications in robot manipulation and navigation such as path generation for deformable object keypoints and swarms. A…