A deep multi-agent reinforcement learning framework for autonomous aerial navigation to grasping points on loads

Chen, J. orcid.org/0000-0001-7083-0948, Ma, R. orcid.org/0000-0002-8035-5746 and Oyekan, J. orcid.org/0000-0001-6578-9928 (2023) A deep multi-agent reinforcement learning framework for autonomous aerial navigation to grasping points on loads. Robotics and Autonomous Systems, 167. 104489. ISSN: 0921-8890

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2023 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Keywords: Cooperative navigation; Multi-agent reinforcement learning; Learning from demonstration; Curriculum learning
Dates:
  • Accepted: 23 June 2023
  • Published (online): 10 July 2023
  • Published: September 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL / EPSRC
EP/V055089/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/W014688/1
Date Deposited: 06 Oct 2025 15:00
Last Modified: 06 Oct 2025 15:00
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: 10.1016/j.robot.2023.104489
Open Archives Initiative ID (OAI ID):

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