Grasp the Graph (GtG): A Super Light Graph-RL Framework for Robotic Grasping
Author:
Affiliation:
1. University of Tehran,Human and Robot Interaction Laboratory, School of Electrical and Computer Engineering,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10412246/10412347/10412387.pdf?arnumber=10412387
Reference22 articles.
1. Robotic grasping from classical to modern: A survey;Zhang;CoRR,2022
2. Robot Grasp Synthesis Algorithms: A Survey
3. Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards
4. Improving the Successful Robotic Grasp Detection Using Convolutional Neural Networks
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