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Volumn 1, Issue , 2002, Pages 607-612

Towards real-time global motion planning in a dynamic environment using the NLVO concept

Author keywords

[No Author keywords available]

Indexed keywords

COLLISION AVOIDANCE; COMPUTATIONAL METHODS; CONSTRAINT THEORY; KINEMATICS; MOBILE ROBOTS; NAVIGATION;

EID: 0036452456     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (57)

References (23)
  • 1
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  • 3
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    • Time optimal trajectory planning in dynamic environments
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    • Fiorini, Shiller Time Optimal trajectory planning in dynamic environments. In Proc. of the IEEE Int. Conf. on Robotics and Automation, volume 2, pages 1553-1558, Minneapolis, Minnesota, April 1996.
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    • Fiorini, S.1
  • 6
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    • On the complexity of kinodynamic planning
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    • Canny On the complexity of kinodynamic planning. In Proc. of the IEEE Symp. on the Foundations of Computer Sciences, pages 306-316, White Plains, NY (USA), November 1988.
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    • Canny1
  • 7
    • 0024937330 scopus 로고
    • Robot path planning with obstacles, actuator, gripper and payload constraints
    • December
    • Shiller, Dubowsky Robot path planning with obstacles, actuator, gripper and payload constraints. In Int. Journal of Robotics Research, 8(6):3-18, December 1989.
    • (1989) Int. Journal of Robotics Research , vol.8 , Issue.6 , pp. 3-18
    • Shiller, D.1
  • 8
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    • Planning of minimum time trajectories for robot arms
    • St Louis, MI (USA), March
    • Sahar, Hollerbach Planning of minimum time trajectories for robot arms. In Proc. of the IEEE Int. Conf. on Robotics and Automation, pages 751-758, St Louis, MI (USA), March 1985.
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    • Sahar, H.1
  • 9
    • 0025106635 scopus 로고
    • Provably good approximation algorithms for optimal kinodynamic planning for cartesian robots and open-chain manipulators
    • Berkeley, CA (USA)
    • Donald, Xavier Provably good approximation algorithms for optimal kinodynamic planning for cartesian robots and open-chain manipulators. In Proc. of the ACM Symp. on Computational Geometry, pages 290-300, Berkeley, CA (USA), 1990.
    • (1990) Proc. of the ACM Symp. on Computational Geometry , pp. 290-300
    • Donald, X.1
  • 10
    • 0027844027 scopus 로고
    • Dynamic trajectory planning with dynamic constraints: A 'state-time space' approach
    • Yokohama (JP), July
    • Fraichard Dynamic trajectory planning with dynamic constraints: a 'state-time space' approach. In Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, volume 2, pages 1394-1400, Yokohama (JP), July 1993.
    • (1993) Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems , vol.2 , pp. 1394-1400
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  • 11
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    • New heuristic algorithms for efficient hierarchical path planning
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    • Zhu, Latombe New Heuristic Algorithms for Efficient Hierarchical Path Planning. In Artificial Intelligence, North-Holland, Vol. 27, No. 1, pages 9-20, February 1991
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    • Zhu, L.1
  • 12
    • 0032690320 scopus 로고    scopus 로고
    • Trajectory planning in a dynamic workspace: A 'state-time space' approach
    • Fraichard Trajectory Planning in A Dynamic Workspace: a 'State-Time Space' Approach. In Advanced Robotics, 13(1):75-94, 1999.
    • (1999) Advanced Robotics , vol.13 , Issue.1 , pp. 75-94
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  • 13
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    • Technical Report No. 98-11, Dept. of Computer Science, Iowa State University, Oct.
    • LaValle Rapidly-Exploring Random Trees: A New Tool for Path Planning. Technical Report No. 98-11, Dept. of Computer Science, Iowa State University, Oct. 1998.
    • (1998)
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  • 14
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    • Toward efficient trajectory planning: The path-velocity decomposition
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    • Kant, Zucker Toward efficient trajectory planning: the path-velocity decomposition. In Intl. Journal of Robotics Research, 5(3):72-89, Fall 1986
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  • 15
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    • Ahuactzin Le Fil d'Ariane: Une Méthode de Planification Génerale. Application à la Planification Automatique de Trajectories. Ph.D Thesis, Thèse de doctorat. Inst. Nat. Polytechnique de Grenoble. Grenoble(FR), September 1994.
    • (1994)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.