메뉴 건너뛰기




Volumn 2, Issue , 1997, Pages 920-927

Learning topological maps with weak local odometric information

Author keywords

[No Author keywords available]

Indexed keywords

BAUM-WELCH ALGORITHMS; CONFIGURATION SPACE; FASTER CONVERGENCE; LOCAL INFORMATION; ODOMETRIC INFORMATION; RELATIVE TRANSFORMATION; ROBOTIC NAVIGATION; STOCHASTIC MAPS;

EID: 84880667123     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (117)

References (19)
  • 1
    • 0029222421 scopus 로고
    • Learning dynamics: System identification for perceptually challenged agents
    • K. Basye, T. Dean and L. P. Kaelbling. Learning dynamics: System identification for perceptually challenged agents. Artificial Intelligence, 72(1), 1995.
    • (1995) Artificial Intelligence , vol.72 , Issue.1
    • Basye, K.1    Dean, T.2    Kaelbling, L.P.3
  • 3
    • 0000166115 scopus 로고
    • Autoclass: A Bayesian classification system
    • J. W. Shavlik and T. G. Dietterich, editors, Morgan-Kaufmann
    • P. Cheeseman et al. Autoclass: A Bayesian classification system. In J. W. Shavlik and T. G. Dietterich, editors, Readings in Machine Learning, pages 296-306. Morgan-Kaufmann, 1990.
    • (1990) Readings in Machine Learning , pp. 296-306
    • Cheeseman, P.1
  • 6
    • 0022691022 scopus 로고
    • Maximum likelihood estimation for multivariate mixture observations of Markov chains
    • March
    • B. H. Juang, S. E. Levinson and M. M. Sondhi. Maximum likelihood estimation for multivariate mixture observations of Markov chains. IEEE Transactions on Information Theory, 32(2), March 1986.
    • (1986) IEEE Transactions on Information Theory , vol.32 , Issue.2
    • Juang, B.H.1    Levinson, S.E.2    Sondhi, M.M.3
  • 7
    • 0022097649 scopus 로고
    • Maximum likelihood estimation for mixture multivariate stochastic observations of Markov chains
    • July-August
    • B. H. Juang. Maximum likelihood estimation for mixture multivariate stochastic observations of Markov chains. AT&T Technical Journal, 64(6), July-August 1985.
    • (1985) AT&T Technical Journal , vol.64 , Issue.6
    • Juang, B.H.1
  • 10
    • 0026258475 scopus 로고
    • A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations
    • B. Kuipers and Y.-T. Byun. A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations. Journal of Robotics and Autonomous Systems, 8:47-63, 1991.
    • (1991) Journal of Robotics and Autonomous Systems , vol.8 , pp. 47-63
    • Kuipers, B.1    Byun, Y.-T.2
  • 12
    • 0020180460 scopus 로고
    • Maximum likelihood estimation for multivariate observations of Markov sources
    • L. A. Liporace. Maximum likelihood estimation for multivariate observations of Markov sources. IEEE Transactions on Information Theory, 28(5), 1982.
    • (1982) IEEE Transactions on Information Theory , vol.28 , Issue.5
    • Liporace, L.A.1
  • 13
    • 0029324777 scopus 로고
    • Dervish: An office-navigating robot
    • I. Nourbakhsh, R. Powers and S. Birchfield. Dervish: An office-navigating robot. AI Magazine, 16(I):53-60, 1995.
    • (1995) AI Magazine , vol.16 , Issue.1 , pp. 53-60
    • Nourbakhsh, I.1    Powers, R.2    Birchfield, S.3
  • 14
    • 0031147214 scopus 로고    scopus 로고
    • Map learning with uninterpreted sensors and effectors
    • To appear
    • D. Pierce and B. Kuipers. Map learning with uninterpreted sensors and effectors. Artificial Intelligence, 1997. (To appear).
    • (1997) Artificial Intelligence
    • Pierce, D.1    Kuipers, B.2
  • 15
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • February
    • L. R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-285, February 1989.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-285
    • Rabiner, L.R.1
  • 19
    • 0038546194 scopus 로고    scopus 로고
    • Technical Report CMU-CS-96-121, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, April
    • S. Thrun and A. Biicken. Learning maps for indoor mobile robot navigation. Technical Report CMU-CS-96-121, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, April 1996.
    • (1996) Learning Maps for Indoor Mobile Robot Navigation
    • Thrun, S.1    Biicken, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.