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Volumn 55, Issue 7, 2007, Pages 561-571

Real-time hierarchical POMDPs for autonomous robot navigation

Author keywords

Hierarchical POMDP; Partially observable Markov decision processes (POMDP); Robot navigation

Indexed keywords

AUTONOMOUS AGENTS; COLLISION AVOIDANCE; DECISION THEORY; MARKOV PROCESSES; MATHEMATICAL MODELS; ROBOTICS;

EID: 34248656990     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.robot.2007.01.004     Document Type: Article
Times cited : (86)

References (26)
  • 1
    • 0030388815 scopus 로고    scopus 로고
    • A.R. Cassandra, L.P. Kaelbling, J.A. Kurien, Acting under uncertainty: Discrete bayesian models for mobile-robot navigation, in: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1996
  • 2
    • 0036453845 scopus 로고    scopus 로고
    • A. Foka, P. Trahanias, Predictive autonomous robot navigation, in: Proceedings IEEE/RSJ International Conference Intelligent Robots and Systems, IROS, 2002
  • 3
    • 0346780167 scopus 로고    scopus 로고
    • A. Foka, P. Trahanias, Predictive control of robot velocity to avoid obstacles in dynamic environments, in: Proceedings IEEE/RSJ International Conference Intelligent Robots and Systems, IROS, 2003
  • 4
    • 84880772945 scopus 로고    scopus 로고
    • G. Gordon, J. Pineau, S. Thrun, Point-based value iteration: An anytime algorithm for pomdps, in: Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI, 2003
  • 5
    • 0001770240 scopus 로고    scopus 로고
    • Value function approximations for partially observable Markov decision processes
    • Hauskrecht M. Value function approximations for partially observable Markov decision processes. Journal of Artificial Intelligence Research 13 (2000) 33-95
    • (2000) Journal of Artificial Intelligence Research , vol.13 , pp. 33-95
    • Hauskrecht, M.1
  • 6
    • 0032073263 scopus 로고    scopus 로고
    • Planning and acting in partially observable stochastic domains
    • Kaebling L.P., Littman M.L., and Cassandra A.R. Planning and acting in partially observable stochastic domains. Artificial Intelligence 101 1-2 (1998) 99-134
    • (1998) Artificial Intelligence , vol.101 , Issue.1-2 , pp. 99-134
    • Kaebling, L.P.1    Littman, M.L.2    Cassandra, A.R.3
  • 9
    • 0029697923 scopus 로고    scopus 로고
    • S. Koenig, R.G. Simmons, Unsupervised learning of probabilistic models for robot navigation, in: Proceedings of the International Conference on Robotics and Automation, 1996, pp. 2301-2308
  • 11
    • 34248677631 scopus 로고    scopus 로고
    • M. Littman, A. Cassandra, L. Kaebling, Learning policies for partially observable environments: Scaling up, in: Proceeding of the 12th International Conference on Machine Learning, 1995, pp. 362-370
  • 13
    • 0031100775 scopus 로고    scopus 로고
    • Robot pose estimation in unknown environments by matching 2d range scans
    • Lu F., and Milios E. Robot pose estimation in unknown environments by matching 2d range scans. Journal of Intelligent and Robotic Systems 18 (1998) 249-275
    • (1998) Journal of Intelligent and Robotic Systems , vol.18 , pp. 249-275
    • Lu, F.1    Milios, E.2
  • 14
    • 0019909899 scopus 로고
    • A survey of partially observable markov decision processes: Theory, models, and algorithms
    • Monahan G.E. A survey of partially observable markov decision processes: Theory, models, and algorithms. Management Science 28 (1982) 1-16
    • (1982) Management Science , vol.28 , pp. 1-16
    • Monahan, G.E.1
  • 15
    • 0034497886 scopus 로고    scopus 로고
    • Robot navigation in the real world: Experiments with Manchester's FortyTwo in unmodified, large environments
    • Nehmzow U., and Owen C. Robot navigation in the real world: Experiments with Manchester's FortyTwo in unmodified, large environments. Robotics and Autonomous Systems 33 4 (2000) 223-242
    • (2000) Robotics and Autonomous Systems , vol.33 , Issue.4 , pp. 223-242
    • Nehmzow, U.1    Owen, C.2
  • 16
    • 34248668776 scopus 로고    scopus 로고
    • J. Pineau, S. Thrun, An integrated approach to hierarchy and abstraction for POMDPs, Technical Report (CMU-RI-TR-02-21), Carnegie Mellon University, 2002
  • 20
    • 34248632283 scopus 로고    scopus 로고
    • K.-M. Poon, A fast heuristic algorithm for decision-theoretic planning, Master's Thesis, The Hong-Kong University of Science and Technology, 2001
  • 21
    • 34248634056 scopus 로고    scopus 로고
    • N. Roy, J. Pineau, S. Thrun, A hierarchical approach to pomdp planning and execution, in: Workshop on Hierarchy and Memory in Reinforcement Learning, ICML, 2001
  • 23
    • 34248631712 scopus 로고    scopus 로고
    • R. Simmons, S. Koenig, Probabilistic robot navigation in partially observable environments, in: Proceedings of the International Joint Conference on Artificial Intelligence, 1995, pp. 1080-1087
  • 24
    • 3042527666 scopus 로고    scopus 로고
    • M.T.J. Spaan, N. Vlassis, A point-based POMDP algorithm for robot planning, in: Proceedings of 2004 IEEE International Conference on Robotics and Automation, ICRA, 2004
  • 25
    • 34248647645 scopus 로고    scopus 로고
    • G. Theocharous, Hierarchical learning and planning in partially observable Markov decision processes, Ph.D. Thesis, Michigan State University, 2002


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.