A Computationally Efficient Nonparametric Approach for Robot Imitation Learning

Wang, Y., Wu, S., Liu, C. et al. (3 more authors) (Accepted: 2026) A Computationally Efficient Nonparametric Approach for Robot Imitation Learning. In: Proceedings of 2026 IEEE International Conference on Robotics and Automation (ICRA). 2026 IEEE International Conference on Robotics and Automation (ICRA), 01-05 Jun 2026, Vienna, Austria. IEEE. (In Press)

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Item Type: Proceedings Paper
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This is an author produced version of a conference paper accepted for publication in Proceedings of 2026 IEEE International Conference on Robotics and Automation (ICRA),  made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Dates:
  • Accepted: 31 January 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
Funder
Grant number
Royal Society *** USE 813030 ***
RG/R1/251228
Date Deposited: 13 Mar 2026 10:52
Last Modified: 13 Mar 2026 20:16
Status: In Press
Publisher: IEEE
Open Archives Initiative ID (OAI ID):

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