Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives

Silvério, J, Huang, Y, Abu-Dakka, FJ et al. (2 more authors) (2019) Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives. In: 2019 International Conference on Intelligent Robots and Systems (IROS). IROS 2019, 04-08 Nov 2019, Macau, China. IEEE

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Silvério, J
  • Huang, Y
  • Abu-Dakka, FJ
  • Rozo, L
  • Caldwell, DG
Copyright, Publisher and Additional Information:

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Dates:
  • Published: 4 November 2019
  • Accepted: 20 June 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 17 Dec 2019 09:45
Last Modified: 18 Dec 2019 14:58
Status: Published
Publisher: IEEE
Open Archives Initiative ID (OAI ID):

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