Suchergebnisse - "Sampling-Based Motion Planning Algorithms"

  1. 1

    Machine learning guided exploration for sampling-based motion planning algorithms von Arslan, Oktay, Tsiotras, Panagiotis

    Veröffentlicht: IEEE 01.09.2015
    “… We propose a machine learning (ML)-inspired approach to estimate the relevant region of a motion planning problem during the exploration phase of …”
    Volltext
    Tagungsbericht
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    Dynamic programming guided exploration for sampling-based motion planning algorithms von Arslan, Oktay, Tsiotras, Panagiotis

    ISSN: 1050-4729
    Veröffentlicht: IEEE 01.05.2015
    “… Several sampling-based algorithms have been recently proposed that ensure asymptotic optimality. The convergence of these algorithms can be improved if …”
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    Tagungsbericht
  3. 3

    Kinematic Graph for Motion Planning of Robotic Manipulators von Corves, Burkhard, Shahidi, Amir

    ISSN: 2218-6581, 2218-6581
    Veröffentlicht: Basel MDPI AG 01.10.2022
    Veröffentlicht in Robotics (Basel) (01.10.2022)
    “… The term kinematic graph emphasises the fact that any path computed by sampling-based motion planning algorithms using a kinematic graph is guaranteed to correspond to a feasible motion …”
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    Journal Article
  4. 4

    Sampling-Based Motion Planning Algorithms for Replanning and Spatial Load Balancing von Boardman, Beth Leigh

    ISBN: 0355547651, 9780355547658
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2017
    “… The common theme of this dissertation is sampling-based motion planning with the two key contributions being in the area of replanning and spatial load …”
    Volltext
    Dissertation
  5. 5

    A scalable method for parallelizing sampling-based motion planning algorithms von Jacobs, S. A., Manavi, K., Burgos, J., Denny, J., Thomas, S., Amato, N. M.

    ISBN: 9781467314039, 146731403X
    ISSN: 1050-4729
    Veröffentlicht: IEEE 01.05.2012
    “… This paper describes a scalable method for parallelizing sampling-based motion planning algorithms …”
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    Tagungsbericht
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    Performance Measurement of Energy Optimal Path Finding for Waste Collection Robot Using ACO Algorithm von Koki Tomitagawa, Anuntapat Anuntachai, Supannada Chotipant, Olarn Wongwirat, Shigeru Kuchii

    ISSN: 2169-3536
    Veröffentlicht: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2022
    Veröffentlicht in IEEE Access (01.01.2022)
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    Journal Article
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    Fuzzy-Based Distributed Behavioral Control With Wall-Following Strategy for Swarm Navigation in Arbitrary-Shaped Environments von Truong Nhu, Pham Duy Hung, Van Anh Ho, Trung Dung Ngo

    ISSN: 2169-3536
    Veröffentlicht: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2021
    Veröffentlicht in IEEE Access (01.01.2021)
    Volltext
    Journal Article
  9. 9

    Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms von Fidel, Adam, Jacobs, Sam Ade, Sharma, Shishir, Amato, Nancy M., Rauchwerger, Lawrence

    ISBN: 1479937991, 9781479937998
    ISSN: 1530-2075
    Veröffentlicht: IEEE 01.05.2014
    “… Recent work introduced uniform spatial subdivision techniques for parallelizing sampling-based motion planning algorithms that scaled well …”
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    Tagungsbericht
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    Application of Sampling-Based Motion Planning Algorithms in Autonomous Vehicle Navigation von Khaksar, Weria

    ISBN: 9535125842, 9789535125846
    Veröffentlicht: IntechOpen 01.01.2016
    “… With the development of the autonomous driving technology, the autonomous vehicle has become one of the key issues for supporting our daily life and economical …”
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    Buchkapitel
  13. 13

    Analysis of Asymptotically Optimal Sampling-based Motion Planning Algorithms for Lipschitz Continuous Dynamical Systems von Papadopoulos, Georgios, Kurniawati, Hanna, Patrikalakis, Nicholas M

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 12.05.2014
    Veröffentlicht in arXiv.org (12.05.2014)
    “… Over the last 20 years significant effort has been dedicated to the development of sampling-based motion planning algorithms such as the Rapidly-exploring Random Trees (RRT …”
    Volltext
    Paper
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    MP-RRT#: a Model Predictive Sampling-based Motion Planning Algorithm for Unmanned Aircraft Systems von Primatesta, Stefano, Osman, Abdalla, Rizzo, Alessandro

    ISSN: 0921-0296, 1573-0409
    Veröffentlicht: Dordrecht Springer Netherlands 01.12.2021
    Veröffentlicht in Journal of intelligent & robotic systems (01.12.2021)
    “… This paper introduces a kinodynamic motion planning algorithm for Unmanned Aircraft Systems (UAS), called MP-RRT # . MP-RRT # joins the potentialities of RRT # …”
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    Journal Article
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    Bi-AM-RRT: A Fast and Efficient Sampling-Based Motion Planning Algorithm in Dynamic Environments von Zhang, Ying, Wang, Heyong, Yin, Maoliang, Wang, Jiankun, Hua, Changchun

    ISSN: 2379-8858, 2379-8904
    Veröffentlicht: Piscataway IEEE 01.01.2024
    Veröffentlicht in IEEE transactions on intelligent vehicles (01.01.2024)
    “… The efficiency of sampling-based motion planning brings wide application in autonomous mobile robots. The conventional rapidly exploring random tree (RRT) …”
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    Journal Article
  17. 17

    Bi-HS-RRT$$^\text {X}$$: an efficient sampling-based motion planning algorithm for unknown dynamic environments von Liao, Longjie, Xu, Qimin, Zhou, Xinyi, Li, Xu, Liu, Xixiang

    ISSN: 2199-4536, 2198-6053
    Veröffentlicht: 01.12.2024
    Veröffentlicht in Complex & intelligent systems (01.12.2024)
    “… In the field of autonomous mobile robots, sampling-based motion planning methods have demonstrated their efficiency in complex environments. Although the …”
    Volltext
    Journal Article
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    Bi-HS-RRTX: an efficient sampling-based motion planning algorithm for unknown dynamic environments von Liao, Longjie, Xu, Qimin, Zhou, Xinyi, Li, Xu, Liu, Xixiang

    ISSN: 2199-4536, 2198-6053
    Veröffentlicht: Cham Springer International Publishing 01.12.2024
    Veröffentlicht in Complex & intelligent systems (01.12.2024)
    “… In the field of autonomous mobile robots, sampling-based motion planning methods have demonstrated their efficiency in complex environments. Although the …”
    Volltext
    Journal Article
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    a Model Predictive Sampling-based Motion Planning Algorithm for Unmanned Aircraft Systems von Primatesta, Stefano, Osman, Abdalla, Rizzo, Alessandro

    ISSN: 0921-0296
    Veröffentlicht: Springer 01.12.2021
    Veröffentlicht in Journal of intelligent & robotic systems (01.12.2021)
    “… This paper introduces a kinodynamic motion planning algorithm for Unmanned Aircraft Systems (UAS), called [MP-RRT.sup.#]. [MP-RRT.sup.#] joins the …”
    Volltext
    Journal Article
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    Bi-HS-RRT $$^\text {X}$$ X : an efficient sampling-based motion planning algorithm for unknown dynamic environments von Longjie Liao, Qimin Xu, Xinyi Zhou, Xu Li, Xixiang Liu

    ISSN: 2199-4536, 2198-6053
    Veröffentlicht: Springer 01.07.2024
    Veröffentlicht in Complex & intelligent systems (01.07.2024)
    “… Abstract In the field of autonomous mobile robots, sampling-based motion planning methods have demonstrated their efficiency in complex environments. Although …”
    Volltext
    Journal Article