Real-Time Collision-Free Grasp Pose Detection With Geometry-Aware Refinement Using High-Resolution Volume-Reference-Cited by-同舟云学术

Real-Time Collision-Free Grasp Pose Detection With Geometry-Aware Refinement Using High-Resolution Volume

Published:2022-04 Issue:2 Volume:7 Page:1888-1895
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Cai Junhao^ORCID,Cen Jun^ORCID,Wang Haokun^ORCID,Wang Michael Yu^ORCID

Funder

Research Grants Council

Innovation and Technology Fund of the Government of the Hong Kong Special Administrative Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9647862/09681231.pdf?arnumber=9681231

Reference45 articles.

1. Learning a visuomotor controller for real world robotic grasping using simulated depth images;viereck;Proc Conf Robot Learn,0

2. DeepIM: Deep Iterative Matching for 6D Pose Estimation

3. Planning optimal grasps

4. Finding antipodal point grasps on irregularly shaped objects

5. Learning an end-to-end spatial grasp generation and refinement algorithm from simulation

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