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Volumn 68, Issue STAR, 2010, Pages 193-209

Randomized belief-space replanning in partially-observable continuous spaces

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS SPACES; FORWARD SIMULATION; HIGH-DIMENSIONAL; MONTE CARLO SIMULATION; OPEN LOOP CONTROL; QUALITY METRICES; RE-PLANNING; ROBOTIC SYSTEMS; SPACE SEARCH; TIME STEP;

EID: 78650156736     PISSN: 16107438     EISSN: 1610742X     Source Type: Book Series    
DOI: 10.1007/978-3-642-17452-0_12     Document Type: Conference Paper
Times cited : (34)

References (22)
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    • June
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  • 2
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    • Robot motion planning: A distributed representation approach
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    • Barraquand, J.1    Latombe, J.-C.2
  • 3
    • 78650130948 scopus 로고    scopus 로고
    • Lqg-mp: Optimized path planning for robots with motion uncertainty and imperfect state information
    • Berg, J.V.D., Abbeel, P., Goldberg, K.: Lqg-mp: Optimized path planning for robots with motion uncertainty and imperfect state information. In: Proc. Robotics: Science and Systems (2010)
    • (2010) Proc. Robotics: Science and Systems
    • Berg, J.V.D.1    Abbeel, P.2    Goldberg, K.3
  • 5
    • 0001460136 scopus 로고    scopus 로고
    • On sequential monte carlo sampling methods for bayesian filtering
    • Doucet, A., Godsill, S., Andrieu, C.: On sequential monte carlo sampling methods for bayesian filtering. Statistics and Computing 10(3), 197-208 (2000)
    • (2000) Statistics and Computing , vol.10 , Issue.3 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 10
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    • Collision-probability constrained prm for a manipulator with base pose uncertainty
    • Piscataway, NJ, USA, 2009, pp. IEEE Press, Los Alamitos (
    • Huang, Y., Gupta, K.: Collision-probability constrained prm for a manipulator with base pose uncertainty. In: Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Piscataway, NJ, USA, 2009, pp. 1426-1432. IEEE Press, Los Alamitos (2009)
    • (2009) Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems , pp. 1426-1432
    • Huang, Y.1    Gupta, K.2
  • 11
    • 0030212126 scopus 로고    scopus 로고
    • Probabilistic roadmaps for path planning in high-dimensional configuration spaces
    • Kavraki, L.E., Svetska, P., Latombe, J.-C., Overmars, M.: Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Trans. Robot. and Autom. 12(4), 566-580 (1996)
    • (1996) IEEE Trans. Robot. and Autom. , vol.12 , Issue.4 , pp. 566-580
    • Kavraki, L.E.1    Svetska, P.2    Latombe, J.-C.3    Overmars, M.4
  • 14
    • 70349645087 scopus 로고    scopus 로고
    • Sarsop: Efficient point-based pomdp planning by approximating optimally reachable belief spaces
    • Kurniawati, H., Hsu, D., Lee,W.: Sarsop: Efficient point-based pomdp planning by approximating optimally reachable belief spaces. In: Proc. Robotics: Science and Systems (2008)
    • (2008) Proc. Robotics: Science and Systems
    • Kurniawati, H.1    Hsu, D.2    Lee, W.3
  • 15
    • 0000606666 scopus 로고    scopus 로고
    • Rapidly-exploring random trees: Progress and prospects
    • LaValle, S.M., Kuffner Jr., J.J.: Rapidly-exploring random trees: progress and prospects. In: WAFR (2000)
    • (2000) WAFR
    • LaValle, S.M.1    Kuffner Jr., J.J.2
  • 16
    • 85138579181 scopus 로고
    • Learning policies for partially observable environments: Scaling up
    • Morgan Kaufmann, San Francisco (
    • Littman, M., Cassandra, A.R., Kaelbling, L.P.: Learning policies for partially observable environments: Scaling up. In: Proc. 12th Int. Conf. on Machine Learning, pp. 362-370. Morgan Kaufmann, San Francisco (1995)
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    • Littman, M.1    Cassandra, A.R.2    Kaelbling, L.P.3
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    • Point-based value iteration: An anytime algorithm for pomdps
    • IJCAI), Acapulco, Mexico, pp. August
    • Pineau, J., Gordon, G., Thrun, S.: Point-based value iteration: An anytime algorithm for pomdps. In: International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, pp. 1025-1032 (August 2003)
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    • Pineau, J.1    Gordon, G.2    Thrun, S.3
  • 21
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    • The belief roadmap: Efficient planning in belief space by factoring the covariance
    • Prentice, S., Roy, N.: The Belief Roadmap: Efficient Planning in Belief Space by Factoring the Covariance. The International Journal of Robotics Research 28(11-12), 1448-1465 (2009)
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    • Prentice, S.1    Roy, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.