Suchergebnisse - "Sampling-Based Motion Planning Algorithms"
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Machine learning guided exploration for sampling-based motion planning algorithms
Veröffentlicht: IEEE 01.09.2015Veröffentlicht in 2015 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS) (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 …”
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Dynamic programming guided exploration for sampling-based motion planning algorithms
ISSN: 1050-4729Veröffentlicht: IEEE 01.05.2015Veröffentlicht in Proceedings - IEEE International Conference on Robotics and Automation (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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Kinematic Graph for Motion Planning of Robotic Manipulators
ISSN: 2218-6581, 2218-6581Veröffentlicht: Basel MDPI AG 01.10.2022Veröffentlicht 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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Sampling-Based Motion Planning Algorithms for Replanning and Spatial Load Balancing
ISBN: 0355547651, 9780355547658Veröffentlicht: 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 …”
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A scalable method for parallelizing sampling-based motion planning algorithms
ISBN: 9781467314039, 146731403XISSN: 1050-4729Veröffentlicht: IEEE 01.05.2012Veröffentlicht in 2012 IEEE International Conference on Robotics and Automation (01.05.2012)“… This paper describes a scalable method for parallelizing sampling-based motion planning algorithms …”
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Performance Measurement of Energy Optimal Path Finding for Waste Collection Robot Using ACO Algorithm
ISSN: 2169-3536Veröffentlicht: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2022Veröffentlicht in IEEE Access (01.01.2022)Volltext
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An Object-Oriented Systems Engineering Point of View to Develop Controllers of Quadrotor Unmanned Aerial Vehicles
ISSN: 1687-5966, 1687-5974Veröffentlicht: Hindawi Limited 05.08.2020Veröffentlicht in International Journal of Aerospace Engineering (05.08.2020)Volltext
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Fuzzy-Based Distributed Behavioral Control With Wall-Following Strategy for Swarm Navigation in Arbitrary-Shaped Environments
ISSN: 2169-3536Veröffentlicht: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2021Veröffentlicht in IEEE Access (01.01.2021)Volltext
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Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms
ISBN: 1479937991, 9781479937998ISSN: 1530-2075Veröffentlicht: IEEE 01.05.2014Veröffentlicht in Proceedings - IEEE International Parallel and Distributed Processing Symposium (01.05.2014)“… Recent work introduced uniform spatial subdivision techniques for parallelizing sampling-based motion planning algorithms that scaled well …”
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Robust control of a redundant wheeled drive system for energy saving and fail safe motion
ISSN: 1687-8140, 1687-8140Veröffentlicht: SAGE Publications 01.05.2017Veröffentlicht in Advances in Mechanical Engineering (01.05.2017)Volltext
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Design of a redundant wheeled drive system for energy saving and fail safe motion
ISSN: 1687-8132, 1687-8140Veröffentlicht: SAGE Publications 01.11.2016Veröffentlicht in Advances in Mechanical Engineering (01.11.2016)Volltext
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Application of Sampling-Based Motion Planning Algorithms in Autonomous Vehicle Navigation
ISBN: 9535125842, 9789535125846Veröffentlicht: 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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Analysis of Asymptotically Optimal Sampling-based Motion Planning Algorithms for Lipschitz Continuous Dynamical Systems
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 12.05.2014Veröffentlicht 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 …”
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Comparison of Sampling Based Motion Planning Algorithms Specialized for Robot Manipulators
ISBN: 3800734184, 9783800734184Veröffentlicht: VDE Verlag 2012Veröffentlicht in Robotik 2012 - Proceedings for the Conference of ROBOTICS 2012, 7th German Conference on Robotics, 21 - 22 May 2012 (2012)Volltext
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MP-RRT#: a Model Predictive Sampling-based Motion Planning Algorithm for Unmanned Aircraft Systems
ISSN: 0921-0296, 1573-0409Veröffentlicht: Dordrecht Springer Netherlands 01.12.2021Veröffentlicht 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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Bi-AM-RRT: A Fast and Efficient Sampling-Based Motion Planning Algorithm in Dynamic Environments
ISSN: 2379-8858, 2379-8904Veröffentlicht: Piscataway IEEE 01.01.2024Veröffentlicht 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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Bi-HS-RRT$$^\text {X}$$: an efficient sampling-based motion planning algorithm for unknown dynamic environments
ISSN: 2199-4536, 2198-6053Veröffentlicht: 01.12.2024Veröffentlicht 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 …”
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Bi-HS-RRTX: an efficient sampling-based motion planning algorithm for unknown dynamic environments
ISSN: 2199-4536, 2198-6053Veröffentlicht: Cham Springer International Publishing 01.12.2024Veröffentlicht 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 …”
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a Model Predictive Sampling-based Motion Planning Algorithm for Unmanned Aircraft Systems
ISSN: 0921-0296Veröffentlicht: Springer 01.12.2021Veröffentlicht 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 …”
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Bi-HS-RRT $$^\text {X}$$ X : an efficient sampling-based motion planning algorithm for unknown dynamic environments
ISSN: 2199-4536, 2198-6053Veröffentlicht: Springer 01.07.2024Veröffentlicht 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 …”
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