Robotic assembly control reconfiguration based on transfer reinforcement learning for objects with different geometric features
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference43 articles.
1. Variable compliance control for robotic peg-in-hole assembly: a deep-reinforcement learning approach;Beltran-Hernandez;Appl. Sci.-Basel.,2020
2. Learning, improving, and generalizing motor skills for the peg-in-hole tasks based on imitation learning and self-learning;Cho;Appl. Sci.,2020
3. Distilling policy distillation;Czarnecki,2019
4. Dynamic potential based reward shaping;Devlin,2012
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