A Novel Simulation-Based Quality Metric for Evaluating Grasps on 3D Deformable Objects
Author:
Affiliation:
1. School of Electrical Engineering, Aalto University,Intelligent Robotics Group at the Department of Electrical Engineering and Automation,Finland
Funder
NVIDIA Corporation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981169.pdf?arnumber=9981169
Reference24 articles.
1. Minimal Work: A Grasp Quality Metric for Deformable Hollow Objects
2. Fast tetrahedral meshing in the wild
3. Grasp planning for thin-walled deformable objects;alt;Robotic Hands Grasping and Manipulation (ICRA Workshop),2015
4. Deformation-Aware Data-Driven Grasp Synthesis
5. Modeling, learning, perception, and control methods for deformable object manipulation
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. 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
2. DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29
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