IPC-GraspSim: Reducing the Sim2Real Gap for Parallel-Jaw Grasping with the Incremental Potential Contact Model
Author:
Affiliation:
1. The AUTOLab at University of California,Berkeley
2. University of California,Department of Electrical Engineering and Computer Sciences,Berkeley,USA
Funder
UC Berkeley
Google
Siemens
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811777.pdf?arnumber=9811777
Reference48 articles.
1. Grasp quality measures: review and performance
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5. Dex-Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning
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1. STARK: A Unified Framework for Strongly Coupled Simulation of Rigid and Deformable Bodies with Frictional Contact;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. Intersection-Free Robot Manipulation With Soft-Rigid Coupled Incremental Potential Contact;IEEE Robotics and Automation Letters;2024-05
3. SPONGE: Sequence Planning with Deformable-ON-Rigid Contact Prediction from Geometric Features;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
4. Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real;IEEE/CAA Journal of Automatica Sinica;2023-03
5. Simulation Model for Robotic Pick-Point Evaluation for 2-F Robotic Gripper;Applied Sciences;2023-02-17
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