Obstacle avoidance using stereo vision and deep reinforcement learning in an animal-like robot

Ling, F., Jiménez-Rodríguez, A. and Prescott, T.J. orcid.org/0000-0003-4927-5390 (2020) Obstacle avoidance using stereo vision and deep reinforcement learning in an animal-like robot. In: 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE International Conference on Robotics and Biomimetics (ROBIO), 06-08 Dec 2019, Dali, China. IEEE , pp. 71-76. ISBN 9781728163222

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Copyright, Publisher and Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Reinforcement Learning; Deep Q Network; Stereo Vision; Obstacle Avoidance; MiRo Robot, Animal-like Robot
Dates:
  • Published (online): 20 January 2020
  • Published: 20 January 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 13 Mar 2020 16:06
Last Modified: 13 Mar 2020 16:06
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/ROBIO49542.2019.8961639

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