Quantifying Demonstration Quality for Robot Learning and Generalization-Reference-Cited by-同舟云学术

Quantifying Demonstration Quality for Robot Learning and Generalization

Published:2022-10 Issue:4 Volume:7 Page:9659-9666
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Sakr Maram¹^ORCID,Li Zexi Jesse¹^ORCID,Van der Loos H. F. Machiel¹,Kulic Dana²^ORCID,Croft Elizabeth A.²^ORCID

Affiliation:

1. Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada

2. Faculty of Engineering, Monash University, Clayton, VIC, Australia

Funder

Natural Sciences and Engineering Research Council of Canada

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/ielx7/7083369/9831196/09832744.pdf?arnumber=9832744

Reference30 articles.

1. What Makes a Good Demonstration for Robot Learning Generalization?

2. Quantifying teaching behavior in robot learning from demonstration

3. Metrics for assessing human skill when demonstrating a bimanual task to a robot;ureche;Proc 10th Annu ACM/IEEE Int Conf Hum -Robot Interact Extended Abstr,0

4. Understandable robots - What, Why, and How

5. Obtaining good performance from a bad teacher;kaiser;Program Demonstration Learn Examples Workshop ML,0

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