Hierarchical Policy Learning With Demonstration Learning for Robotic Multiple Peg-in-Hole Assembly Tasks
Author:
Affiliation:
1. Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Funder
National Natural Science Foundation of China
Beijing Municipal Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10214691/10032219.pdf?arnumber=10032219
Reference30 articles.
1. Vibration Suppression of Non-Deformable Metal Strip for Robot Assisted Assembly Operation
2. Study on dual peg-in-hole insertion using of constraints formed in the environment
3. Model-based approach for adaptive assembly assistance
4. Contact States Estimation Algorithm Using Fuzzy Logic in Peg-in-hole Assembly*
5. An Efficient Robot Precision Assembly Skill Learning Framework Based on Several Demonstrations
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