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Volumn , Issue , 2014, Pages 4342-4347

Extracting kinematic background knowledge from interactions using task-sensitive relational learning

Author keywords

[No Author keywords available]

Indexed keywords

ROBOTICS;

EID: 84929207772     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2014.6907491     Document Type: Conference Paper
Times cited : (17)

References (17)
  • 1
    • 84960108554 scopus 로고    scopus 로고
    • Learning to manipulate articulated objects in unstructured environments using a grounded relational representation
    • D. Katz, Y. Pyuro, and O. Brock, .Learning to manipulate articulated objects in unstructured environments using a grounded relational representation, . in Robotics: Science and Systems IV, 2008, pp. 254. 261
    • (2008) Robotics: Science and Systems IV , pp. 254-261
    • Katz, D.1    Pyuro, Y.2    Brock, O.3
  • 5
    • 84929175240 scopus 로고    scopus 로고
    • Autonomously learning to visually detect where manipulation will succeed
    • H. Nguyen and C. Kemp, .Autonomously learning to visually detect where manipulation will succeed, . Auton. Robots, pp. 1.16, 2013
    • (2013) Auton. Robots , pp. 1-16
    • Nguyen, H.1    Kemp, C.2
  • 8
    • 84911471838 scopus 로고    scopus 로고
    • Interactive perception of articulated objects
    • ser Springer Tracts in Advanced Robotics, O. Khatib and G. S. V. Kumar, Eds. Springer
    • D. Katz, A. Orthey, and O. Brock, .Interactive perception of articulated objects, . in Proc. of the 12th Int. Symp. on Experimental Robotics (ISER), 2010, ser. Springer Tracts in Advanced Robotics, O. Khatib and G. S. V. Kumar, Eds. Springer, 2014, vol. 79, pp. 301.315
    • (2014) Proc. of the 12th Int. Symp. on Experimental Robotics (ISER), 2010 , vol.79 , pp. 301-315
    • Katz, D.1    Orthey, A.2    Brock, O.3
  • 9
    • 80053390021 scopus 로고    scopus 로고
    • A probabilistic framework for learning kinematic models of articulated objects
    • J. Sturm, C. Stachniss, and W. Burgard, .A probabilistic framework for learning kinematic models of articulated objects, . Journal of Arti-cial Intelligence Research, no. 41, pp. 477.526, 2011
    • (2011) Journal of Arti-cial Intelligence Research , vol.41 , pp. 477-526
    • Sturm, J.1    Stachniss, C.2    Burgard, W.3
  • 11
  • 12
    • 84858634841 scopus 로고    scopus 로고
    • Autonomous learning of high-level states and actions in continuous environments
    • J. Mugan and B. Kuipers, .Autonomous learning of high-level states and actions in continuous environments, . IEEE Transactions on Au-tonomous Mental Development, vol. 4, no. 1, pp. 70.86, 2012
    • (2012) IEEE Transactions on Au-tonomous Mental Development , vol.4 , Issue.1 , pp. 70-86
    • Mugan, J.1    Kuipers, B.2
  • 15
    • 0035312760 scopus 로고    scopus 로고
    • Relational reinforcement learning
    • S. Dzeroski, L. De Raedt, and K. Driessens, .Relational reinforcement learning, . Machine Learning, vol. 43, no. 1-2, pp. 7.52, 2001
    • (2001) Machine Learning , vol.43 , Issue.1-2 , pp. 7-52
    • Dzeroski, S.1    De Raedt, L.2    Driessens, K.3
  • 16
    • 1942421161 scopus 로고    scopus 로고
    • Relational instance based regression for relational reinforcement learning
    • Washington, USA
    • K. Driessens and J. Ramon, .Relational instance based regression for relational reinforcement learning, . in Int. Conf. on Machine Learning, vol. 20, Washington, USA, 2003, pp. 123.130
    • (2003) Int. Conf. on Machine Learning , vol.20 , pp. 123-130
    • Driessens, K.1    Ramon, J.2
  • 17
    • 84873447300 scopus 로고    scopus 로고
    • Exploration in relational domains for model-based reinforcement learning
    • T. Lang, M. Toussaint, and K. Kersting, .Exploration in relational domains for model-based reinforcement learning, . Journal of Machine Learning Research, vol. 13, pp. 3691.3734, 2012
    • (2012) Journal of Machine Learning Research , vol.13 , pp. 3691-3734
    • Lang, T.1    Toussaint, M.2    Kersting, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.