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Volumn 54, Issue 5, 2006, Pages 409-413

Robust trajectory learning and approximation for robot programming by demonstration

Author keywords

Robot programming by demonstration; Trajectory learning

Indexed keywords

APPROXIMATION THEORY; DEMONSTRATIONS; EDUCATION COMPUTING; LEARNING SYSTEMS; MANIPULATORS; ROBUSTNESS (CONTROL SYSTEMS); SPURIOUS SIGNAL NOISE; TRAJECTORIES;

EID: 33646158892     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.robot.2006.01.003     Document Type: Article
Times cited : (109)

References (11)
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    • Viviani, P.1    Terzuolo, C.2
  • 5
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    • Hidden Markov model approach to skill learning and its application to telerobotics
    • Yang J., Xu Y., and Chen C. Hidden Markov model approach to skill learning and its application to telerobotics. IEEE Transactions on Robotics and Automation 10 5 (1994) 621-631
    • (1994) IEEE Transactions on Robotics and Automation , vol.10 , Issue.5 , pp. 621-631
    • Yang, J.1    Xu, Y.2    Chen, C.3
  • 6
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    • S. Tso, K. Liu, Demonstrated trajectory selection by Hidden Markov Model, in: Int'l Conf. on Robotics and Automation, Albuquerque, New Mexico, 1997, pp. 2713-2718
  • 7
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    • K. Ogawara, J. Takamatsu, H. Kimura, K. Ikeuchi, Modeling manipulation interactions by hidden Markov models, in: Int'l Conf. on Intelligent Robots and Systems, Lausanne, Switzerland, 2002, pp. 1096-1101
  • 10
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    • Leveraging on a virtual environment for robot programming by demonstration
    • Aleotti J., Caselli S., and Reggiani M. Leveraging on a virtual environment for robot programming by demonstration. Robotics and Autonomous Systems 47 2-3 (2004) 153-161
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.