D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions

Author:

Christen Sammy1,Kocabas Muhammed1,Aksan Emre1,Hwangbo Jemin2,Song Jie1,Hilliges Otmar1

Affiliation:

1. ETH,Department of Computer Science,Zurich

2. KAIST,Department of Mechanical Engineering

Funder

European Research Council (ERC)

Publisher

IEEE

Reference44 articles.

1. H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions

2. GRAB: A dataset of whole-body human grasping of objects;taheri;Proceedings of the European Conference on Computer Vision (ECCV),0

3. Contact and human dynamics from monocular video;rempe;Proceedings of the European Conference on Computer Vision (ECCV),0

4. Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

5. Dexmv: Imitation learning for dexterous manipulation from human videos;qin;ArXiv Preprint,2021

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1. Hand-Object Interaction Controller (HOIC): Deep Reinforcement Learning for Reconstructing Interactions with Physics;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

2. HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency;2024 International Conference on 3D Vision (3DV);2024-03-18

5. Purposer: Putting Human Motion Generation in Context;2024 International Conference on 3D Vision (3DV);2024-03-18

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