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Volumn , Issue , 2007, Pages 1603-1609

Multipartite RRTs for rapid replanning in dynamic environments

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; ITERATIVE METHODS; MOTION PLANNING; PROBABILITY DISTRIBUTIONS; UNCERTAIN SYSTEMS;

EID: 36348983886     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2007.363553     Document Type: Conference Paper
Times cited : (247)

References (20)
  • 6
    • 0034861145 scopus 로고    scopus 로고
    • Decomposition-based motion planning: A framework for real-time motion planning in high-dimensional configuration spaces
    • O. Brock and L. Kavraki, "Decomposition-based motion planning: a framework for real-time motion planning in high-dimensional configuration spaces," in Proc. IEEE Int'l Conf. on Robotics and Automation, vol. 2, 2001.
    • (2001) Proc. IEEE Int'l Conf. on Robotics and Automation , vol.2
    • Brock, O.1    Kavraki, L.2
  • 7
    • 0033726628 scopus 로고    scopus 로고
    • RRT-Connect: An efficient approach to single-query path planning
    • San Francisco, CA, Apr
    • J. Kuffner and S. LaValle, "RRT-Connect: An efficient approach to single-query path planning," in Proc. IEEE Int'l Conf. on Robotics and Automation, San Francisco, CA, Apr. 2000, pp. 995-1001.
    • (2000) Proc. IEEE Int'l Conf. on Robotics and Automation , pp. 995-1001
    • Kuffner, J.1    LaValle, S.2
  • 9
    • 36349024077 scopus 로고    scopus 로고
    • J. Bruce and M. Veloso, Real-time randomized path planning for robot navigation, in Proceedings of IROS-2002, Switzerland, October 2002, an earlier version of this paper appears in the Proceedings of the RoboCup-2002 Symposium.
    • J. Bruce and M. Veloso, "Real-time randomized path planning for robot navigation," in Proceedings of IROS-2002, Switzerland, October 2002, an earlier version of this paper appears in the Proceedings of the RoboCup-2002 Symposium.
  • 11
    • 0036056054 scopus 로고    scopus 로고
    • An incremental learning approach to motion planning with roadmap management
    • T. Li and Y. Shie, "An incremental learning approach to motion planning with roadmap management," Proc. IEEE Int'l Conf. on Robotics and Automation, vol. 4, 2002.
    • (2002) Proc. IEEE Int'l Conf. on Robotics and Automation , vol.4
    • Li, T.1    Shie, Y.2
  • 12
    • 33845671147 scopus 로고    scopus 로고
    • Image-based object recognition, and dexterous hand/arm motion planning using rrts for grasping in cluttered scene
    • Y. Hirano, K. Kitahama, and S. Yoshizawa, "Image-based object recognition, and dexterous hand/arm motion planning using rrts for grasping in cluttered scene," in Proc. IEEE/RSJ Int'l Conf. on Intelligent Robots and Systems, 2005, pp. 3981-3986.
    • (2005) Proc. IEEE/RSJ Int'l Conf. on Intelligent Robots and Systems , pp. 3981-3986
    • Hirano, Y.1    Kitahama, K.2    Yoshizawa, S.3
  • 14
    • 36348979574 scopus 로고    scopus 로고
    • M. Strandberg, Robot path planning: an object-oriented approach, Ph.D. dissertation, Automatic Control, Dept. of Signals, Sensors and Systems, Royal Institute of Technology (KTH), 2004.
    • M. Strandberg, "Robot path planning: an object-oriented approach," Ph.D. dissertation, Automatic Control, Dept. of Signals, Sensors and Systems, Royal Institute of Technology (KTH), 2004.
  • 17
    • 0003943327 scopus 로고
    • Real-time modification of collision-free paths,
    • Ph.D. dissertation, Stanford University
    • S. Quinlan, "Real-time modification of collision-free paths," Ph.D. dissertation, Stanford University, 1994.
    • (1994)
    • Quinlan, S.1
  • 20
    • 0029182152 scopus 로고
    • Incorporating body dynamics into the sensor-based motion planning paradigm: The maximum turn strategy
    • V. Lumelsky and A. Shkel, "Incorporating body dynamics into the sensor-based motion planning paradigm: The maximum turn strategy," in Proc. IEEE Int'l Conf. on Robotics and Automation, vol. 2, 1995.
    • (1995) Proc. IEEE Int'l Conf. on Robotics and Automation , vol.2
    • Lumelsky, V.1    Shkel, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.