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Volumn , Issue , 2010, Pages 255-260

Robot learning by demonstration with local gaussian process regression

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN PROCESS REGRESSION; GAUSSIAN PROCESS REGRESSION MODEL; GAUSSIAN PROCESSES; HETEROSCEDASTIC; INPUT SPACE; LEARNING BY DEMONSTRATION; LEARNING FROM DEMONSTRATION; REAL ROBOT; ROBOTIC SYSTEMS; SERVICE ROBOTS; TASK EXECUTIONS;

EID: 78651476611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2010.5650949     Document Type: Conference Paper
Times cited : (109)

References (20)
  • 4
    • 29144453489 scopus 로고    scopus 로고
    • A unifying view of sparse approximate gaussian process regression
    • J. Q. Candela and C. E. Rasmussen. A unifying view of sparse approximate gaussian process regression. Journal of Machine Learning Research, 6:1939-1959, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1939-1959
    • Candela, J.Q.1    Rasmussen, C.E.2
  • 5
    • 0038891993 scopus 로고    scopus 로고
    • Sparse on-line gaussian processes
    • L. Csató and M. Opper. Sparse on-line gaussian processes. Neural Computation, 14(3):641-668, 2002.
    • (2002) Neural Computation , vol.14 , Issue.3 , pp. 641-668
    • Csató, L.1    Opper, M.2
  • 7
    • 84959305251 scopus 로고    scopus 로고
    • Dynamic imitation in a humanoid robot through nonparametric probabilistic inference
    • MIT Press
    • D. B. Grimes and R. Chalodhorn. Dynamic imitation in a humanoid robot through nonparametric probabilistic inference. In Robotics: Science and Systems. MIT Press, 2006.
    • (2006) Robotics: Science and Systems
    • Grimes, D.B.1    Chalodhorn, R.2
  • 8
    • 36349021906 scopus 로고    scopus 로고
    • Dogged learning for robots
    • IEEE
    • D. H. Grollman and O. C. Jenkins. Dogged learning for robots. In ICRA, pages 2483-2488. IEEE, 2007.
    • (2007) ICRA , pp. 2483-2488
    • Grollman, D.H.1    Jenkins, O.C.2
  • 10
    • 34547984865 scopus 로고    scopus 로고
    • Most likely heteroscedastic gaussian process regression
    • Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvalis, Oregon, USA, June 20-24, 2007
    • K. Kersting, C. Plagemann, P. Pfaff, and W. Burgard. Most likely heteroscedastic gaussian process regression. In Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvalis, Oregon, USA, June 20-24, 2007, volume 227 of ACM International Conference Proceeding Series, pages 393-400, 2007.
    • (2007) ACM International Conference Proceeding Series , vol.227 , pp. 393-400
    • Kersting, K.1    Plagemann, C.2    Pfaff, P.3    Burgard, W.4
  • 13
    • 70450167483 scopus 로고    scopus 로고
    • PhD thesis, University of Freiburg, Department of Computer Science, December
    • C. Plagemann. Gaussian Processes for Flexible Robot Learning. PhD thesis, University of Freiburg, Department of Computer Science, December 2008.
    • (2008) Gaussian Processes for Flexible Robot Learning
    • Plagemann, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.