Fairness and Bias in Robot Learning-Reference-Cited by-同舟云学术

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Fairness and Bias in Robot Learning

Published:2024-04 Issue:4 Volume:112 Page:305-330
ISSN:0018-9219
Container-title:Proceedings of the IEEE
language:
Short-container-title:Proc. IEEE

Author:

Londoño Laura¹,Valeria Hurtado Juana¹,Hertz Nora²^ORCID,Kellmeyer Philipp³^ORCID,Voeneky Silja²,Valada Abhinav¹^ORCID

Affiliation:

1. Department of Computer Science, University of Freiburg, Freiburg, Germany

2. Department of International Law and Ethics of Law, University of Freiburg, Freiburg, Germany

3. School of Business Informatics and Mathematics, University of Mannheim, Mannheim, Germany

Funder

Carl Zeiss Foundation through the ReScaLe Project

German Research Foundation (DFG) Emmy Noether Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5/10556784/10540476.pdf?arnumber=10540476

Reference219 articles.

1. Towards Robot Skill Learning: From Simple Skills to Table Tennis

2. Learning robot skills with temporal variational inference;Shankar

3. Learning an embedding space for transferable robot skills;Hausman

4. Go fetch: Mobile manipulation in unstructured environments;Blomqvist;arXiv:2004.00899,2020

5. Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning

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