The RACE Project: Robustness by Autonomous Competence Enhancement

Hertzberg, J, Zhang, J, Zhang, L et al. (18 more authors) (2014) The RACE Project: Robustness by Autonomous Competence Enhancement. KI - Künstliche Intelligenz, 28 (4). pp. 297-304. ISSN 0933-1875



  • Hertzberg, J
  • Zhang, J
  • Zhang, L
  • Rockel, S
  • Neumann, B
  • Lehmann, J
  • Dubba, KSR
  • Cohn, AG
  • Saffiotti, A
  • Pecora, F
  • Mansouri, M
  • Konečný, S
  • Günther, M
  • Stock, S
  • Lopes, LS
  • Oliveira, M
  • Lim, GH
  • Kasaei, H
  • Mokhtari, V
  • Hotz, L
  • Bohlken, W
Copyright, Publisher and Additional Information: © Springer-Verlag Berlin Heidelberg 2014. This is an author produced version of a paper published in KI - Künstliche Intelligenz. The final publication is available at Springer via Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Task Plan; Feature Extraction; Compositional Hierarchy; Constraint Satisfaction Problem; Action Primitive; Conceptual Knowledge; Robot Behavior; Object Category; Hybrid Reasoning; Plan Generation; Ego Network; Graph Similarity; Plan Execution; Object Perception; Planning Domain
  • Published: November 2014
  • Published (online): 21 September 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Funding Information:
FunderGrant number
EU - European Union287752
Depositing User: Symplectic Publications
Date Deposited: 17 May 2016 12:13
Last Modified: 21 Jan 2018 13:40
Published Version:
Status: Published
Publisher: Springer Verlag
Identification Number:

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