ArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation
Author:
Affiliation:
1. ETH Zurich
2. Korea Advanced Institute of Science and Technology (KAIST)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10550191/10550447/10550470.pdf?arnumber=10550470
Reference84 articles.
1. Structured Prediction Helps 3D Human Motion Modelling
2. A Spatio-temporal Transformer for 3D Human Motion Prediction
3. Learning dexterous in-hand manipulation
4. ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
5. ContactPose: A Dataset of Grasps with Object Contact and Hand Pose
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptors;2024 International Conference on 3D Vision (3DV);2024-03-18
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