3 papers
cs.CV2024
Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera
Jaewoo Heo, Kuan-Chieh Wang, Karen Liu +1
Motion capture technologies have transformed numerous fields, from the film and gaming industries to sports science and healthcare, by providing a tool to capture and analyze human…
cs.RO2024
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation
Chen Wang, Haochen Shi, Weizhuo Wang +3
Imitation learning from human hand motion data presents a promising avenue for imbuing robots with human-like dexterity in real-world manipulation tasks. Despite this potential, su…
cs.RO2024
SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty
Sirui Chen, Jeannette Bohg, C. Karen Liu
Generating stable and robust grasps on arbitrary objects is critical for dexterous robotic hands, marking a significant step towards advanced dexterous manipulation. Previous studi…