Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects
Author:
Affiliation:
1. University of Bonn,Autonomous Intelligent Systems Group, Computer Science Institute VI – Intelligent Systems and Robotics – and the Center for Robotics and the Lamarr Institute for Machine Learning and Artificial Intelligence,Germany
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610700.pdf?arnumber=10610700
Reference27 articles.
1. A system for general in-hand object re-orientation;Chen
2. Visual dexterity: In-hand reorientation of novel and complex object shapes
3. ImageNet classification with deep convolutional neural networks;Krizhevsky;Advances in Neural Information Processing Systems (NeurIPS),2012
4. Segment Anything
5. Generalized Decoding for Pixel, Image, and Language
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