Výsledky vyhledávání - Sampling-Based Motion Planning Algorithms

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  1. 1

    KDF: Kinodynamic Motion Planning via Geometric Sampling-Based Algorithms and Funnel Control Autor Verginis, Christos K., Dimarogonas, Dimos V., Kavraki, Lydia E.

    ISSN: 1552-3098, 1941-0468, 1941-0468
    Vydáno: New York IEEE 01.04.2023
    Vydáno v IEEE transactions on robotics (01.04.2023)
    “…We integrate sampling-based planning techniques with funnel-based feedback control to develop KDF, a new framework for solving the kinodynamic motion-planning problem via funnel control…”
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    MP-RRT#: a Model Predictive Sampling-based Motion Planning Algorithm for Unmanned Aircraft Systems Autor Primatesta, Stefano, Osman, Abdalla, Rizzo, Alessandro

    ISSN: 0921-0296, 1573-0409
    Vydáno: Dordrecht Springer Netherlands 01.12.2021
    “…This paper introduces a kinodynamic motion planning algorithm for Unmanned Aircraft Systems (UAS), called MP-RRT # . MP-RRT…”
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  3. 3

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

    ISSN: 2199-4536, 2198-6053
    Vydáno: 01.12.2024
    Vydáno v 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…”
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  4. 4

    Bi-AM-RRT: A Fast and Efficient Sampling-Based Motion Planning Algorithm in Dynamic Environments Autor Zhang, Ying, Wang, Heyong, Yin, Maoliang, Wang, Jiankun, Hua, Changchun

    ISSN: 2379-8858, 2379-8904
    Vydáno: Piscataway IEEE 01.01.2024
    “…The efficiency of sampling-based motion planning brings wide application in autonomous mobile robots…”
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  5. 5

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

    Vydáno: 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 sampling-based path-planners…”
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  6. 6

    A Novel Sampling-Based Optimal Motion Planning Algorithm for Energy-Efficient Robotic Pick and Place Autor Alam, Md Moktadir, Nishi, Tatsushi, Liu, Ziang, Fujiwara, Tomofumi

    ISSN: 1996-1073, 1996-1073
    Vydáno: Basel MDPI AG 30.09.2023
    Vydáno v Energies (30.09.2023)
    “… the robot’s motion planning and minimizing energy consumption. Sampling-based algorithms for path planning, such as RRT and its many other variants, are widely used…”
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    Bi-HS-RRTX: an efficient sampling-based motion planning algorithm for unknown dynamic environments Autor Liao, Longjie, Xu, Qimin, Zhou, Xinyi, Li, Xu, Liu, Xixiang

    ISSN: 2199-4536, 2198-6053
    Vydáno: Cham Springer International Publishing 01.12.2024
    Vydáno v 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…”
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    a Model Predictive Sampling-based Motion Planning Algorithm for Unmanned Aircraft Systems Autor Primatesta, Stefano, Osman, Abdalla, Rizzo, Alessandro

    ISSN: 0921-0296
    Vydáno: Springer 01.12.2021
    “…This paper introduces a kinodynamic motion planning algorithm for Unmanned Aircraft Systems (UAS), called [MP-RRT.sup.#]. [MP-RRT.sup…”
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    Bi-HS-RRT $$^\text {X}$$ X : an efficient sampling-based motion planning algorithm for unknown dynamic environments Autor Longjie Liao, Qimin Xu, Xinyi Zhou, Xu Li, Xixiang Liu

    ISSN: 2199-4536, 2198-6053
    Vydáno: Springer 01.07.2024
    Vydáno v 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…”
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  10. 10

    An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning Autor Starek, Joseph A., Gomez, Javier V., Schmerling, Edward, Janson, Lucas, Moreno, Luis, Pavone, Marco

    ISSN: 2153-0858, 2153-0866
    Vydáno: United States IEEE 01.09.2015
    “…Bi-directional search is a widely used strategy to increase the success and convergence rates of sampling-based motion planning algorithms…”
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    Fast Marching Tree: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions Autor Janson, Lucas, Schmerling, Edward, Clark, Ashley, Pavone, Marco

    ISSN: 0278-3649
    Vydáno: United States 01.06.2015
    “…In this paper we present a novel probabilistic sampling-based motion planning algorithm called the Fast Marching Tree algorithm (FMT…”
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  12. 12

    Asymptotically Optimal Lazy Lifelong Sampling-based Algorithm for Efficient Motion Planning in Dynamic Environments Autor Huang, Lu, Jing, Xingjian

    ISSN: 2153-0866
    Vydáno: IEEE 14.10.2024
    “… Simulation results demonstrate that the algorithm outperforms various state-of-the-art sampling-based planners in addressing both static and dynamic motion planning…”
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  13. 13

    A batch informed sampling-based algorithm for fast anytime asymptotically-optimal motion planning in cluttered environments Autor Xu, Jing, Song, Kechen, Dong, Hongwen, Yan, Yunhui

    ISSN: 0957-4174, 1873-6793
    Vydáno: New York Elsevier Ltd 15.04.2020
    Vydáno v Expert systems with applications (15.04.2020)
    “… We present Batch-to-batch Informed Fast Marching Tree (BBI-FMT*), an anytime asymptotically-optimal sampling-based algorithm that is designed for solving complex motion planning problems…”
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    A Sampling-Based Algorithm with the Metropolis Acceptance Criterion for Robot Motion Planning Autor Liu, Yiyang, Zhao, Yang, Yan, Shuaihua, Song, Chunhe, Li, Fei

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 26.11.2022
    Vydáno v Sensors (Basel, Switzerland) (26.11.2022)
    “…* motion planning algorithm is widely used because of its asymptotic optimality. However, the running time of RRT…”
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    A sampling-based optimized algorithm for task-constrained motion planning Autor Mi, Kai, Zhang, Haojian, Zheng, Jun, Hu, Jianhua, Zhuang, Dengxiang, Wang, Yunkuan

    ISSN: 1729-8806, 1729-8814
    Vydáno: London, England SAGE Publications 01.05.2019
    “… For this problem, we propose a motion planning algorithm that combines kinematics control with rapidly exploring random sampling methods…”
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    Motion planning for a multi-arm surgical robot using both sampling-based algorithms and motion primitives Autor Preda, Nicola, Manurung, Auralius, Lambercy, Olivier, Gassert, Roger, Bonfe, Marcello

    Vydáno: IEEE 01.09.2015
    “… The motion planning solution proposed in the paper includes both an online collision-free path planner, based on the RRT-Connect algorithm, and a generator of predefined motion primitives…”
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  17. 17

    An efficient RRT-based motion planning algorithm for autonomous underwater vehicles under cylindrical sampling constraints Autor Yu, Fujie, Shang, Huaqing, Zhu, Qilong, Zhang, Hansheng, Chen, Yuan

    ISSN: 0929-5593, 1573-7527
    Vydáno: New York Springer US 01.03.2023
    Vydáno v Autonomous robots (01.03.2023)
    “…) in path planning problems. In this paper, we present a cylinder-based heuristic rapidly exploring random tree (Cyl-HRRT…”
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    Sampling-based algorithms for optimal motion planning with deterministic μ-calculus specifications Autor Karaman, S., Frazzoli, E.

    ISBN: 9781457710957, 1457710951
    ISSN: 0743-1619
    Vydáno: IEEE 01.06.2012
    “… We propose a sampling-based algorithm, based on the Rapidly-exploring Random Graphs (RRGs), that solves this problem with probabilistic completeness and asymptotic optimality guarantees…”
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    Kinematic Graph for Motion Planning of Robotic Manipulators Autor Corves, Burkhard, Shahidi, Amir

    ISSN: 2218-6581, 2218-6581
    Vydáno: Basel MDPI AG 01.10.2022
    Vydáno v 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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    Use of relaxation methods in sampling-based algorithms for optimal motion planning Autor Arslan, Oktay, Tsiotras, Panagiotis

    ISBN: 1467356417, 9781467356411
    ISSN: 1050-4729
    Vydáno: IEEE 01.05.2013
    “…Several variants of incremental sampling-based algorithms have been recently proposed in order to optimally solve motion planning problems…”
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