Suchergebnisse - Sampling-Based Motion Planning Algorithms

Sampling-based algorithms for motion planning with temporal logic specifications

Autoren: Montana, Felipe Dodd, Tony Liu, Jun

Weitere Verfasser: Montana, Felipe Dodd, Tony Liu, Jun

Schlagwörter: 620

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.766565

Motion planning for robotics: A review for sampling-based planners

Autoren: Zhang, Liding Cai, Kuanqi Sun, Zewei et al.

Schlagwörter: Robotics, Motion planning, Sampling-based algorithms

Relation: https://nottingham-repository.worktribe.com/output/45862653; Biomimetic Intelligence and Robotics; Volume 5; Issue 1

Verfügbarkeit: https://doi.org/10.1016/j.birob.2024.100207
https://nottingham-repository.worktribe.com/file/45862653/1/1-s2.0-S2667379724000652-main
https://nottingham-repository.worktribe.com/output/45862653

Bald eagle search algorithm for solving a three-dimensional path planning problem

Autoren: Yunhui Zhang Yongquan Zhou Shuangxi Chen et al.

Quelle: Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2856-2878 (2024)

Schlagwörter: Cartography, Artificial intelligence, Path Planning, Trajectory Optimization, Robot, Unmanned Aerial Vehicle Communications, Aerospace Engineering, FOS: Mechanical engineering, metaheuristic, 02 engineering and technology, Sampling-Based Motion Planning Algorithms, Probabilistic Roadmaps, 7. Clean energy, three-dimensional path planning, Engineering, Eagle, bald eagle search algorithm, 11. Sustainability, QA1-939, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Scope (computer science), Biology, Terrain, Real-Time Planning, Geography, Mathematical optimization, Paleontology, Path (computing), 15. Life on land, Computer science, Optimal Motion Planning, Programming language, Algorithm, Any-angle path planning, three-dimensional geographical environment, Computer Science, Physical Sciences, Missile Guidance and Control Strategies, Motion planning, Computer Vision and Pattern Recognition, TP248.13-248.65, Mathematics, Biotechnology

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38454710
https://doaj.org/article/7771be0caa934383b5f2c353fd6b3a90

ENHANCED HYBRID PATH PLANNING ALGORITHM BASED ON APF AND A-STAR

Autoren: Alwaleed Abdelrahman Shady Zahran Basem E. Elnaghi et al.

Quelle: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 867-873 (2023)

Schlagwörter: Technology, Artificial intelligence, Robot, A* search algorithm, Robot Navigation, FOS: Political science, 0211 other engineering and technologies, 02 engineering and technology, Control of Nonholonomic Mobile Robots, 01 natural sciences, Engineering, 11. Sustainability, Applied optics. Photonics, Political science, Ecology, Obstacle, Mathematical optimization, Path (computing), Engineering (General). Civil engineering (General), Programming language, Algorithm, Physical Sciences, Motion planning, Computer Vision and Pattern Recognition, TA1-2040, Simulation, Star (game theory), Computer Networks and Communications, Path Planning, FOS: Law, Local optimum, Sampling-Based Motion Planning Algorithms, Probabilistic Roadmaps, Mathematical analysis, Real-time computing, Mobile robot, FOS: Mathematics, Distributed Coordination in Online Robotics Research, Biology, Real-Time Planning, 0105 earth and related environmental sciences, Obstacle avoidance, Computer science, TA1501-1820, Optimal Motion Planning, Adaptability, Control and Systems Engineering, FOS: Biological sciences, Computer Science, Law, Mathematics

Dateibeschreibung: application/pdf

Zugangs-URL: https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/867/2023/
https://doaj.org/article/c72a6719b8c04a47a14a4513797434d2

Application of Artificial Intelligence and Machine Learning in Sampling-Based Motion Planning Algorithms for Industrial Robots

Autoren: Md Moktadir Alam Tatsushi Nishi

Quelle: SYSTEMS, CONTROL AND INFORMATION. 2023, 67(3):116

An Improved Quantum-Behaved Particle Swarm Optimization Algorithm Combined with Reinforcement Learning for AUV Path Planning

Autoren: HanBin Zhang XianPeng Shi

Quelle: Journal of Robotics, Vol 2023 (2023)

Schlagwörter: Artificial intelligence, 0209 industrial biotechnology, Path Planning, Robot, FOS: Political science, Fitness function, Ocean Engineering, FOS: Law, Kinodynamic Planning, 02 engineering and technology, Oceanography, Sampling-Based Motion Planning Algorithms, Quantum mechanics, Quantum, Engineering, Reinforcement learning, Machine learning, Mobile robot, TJ1-1570, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Mechanical engineering and machinery, Political science, Maritime Transportation Safety and Risk Analysis, Real-Time Planning, Particle swarm optimization, Physics, Mathematical optimization, Obstacle, Underwater Acoustic Sensor Networks and Communication, Geology, Path (computing), FOS: Earth and related environmental sciences, Obstacle avoidance, Computer science, Optimal Motion Planning, Programming language, Algorithm, Genetic algorithm, Computer Science, Physical Sciences, Motion planning, Computer Vision and Pattern Recognition, Underwater, Law, Underwater Robotics, Mathematics

Dateibeschreibung: text/xhtml

Zugangs-URL: https://doaj.org/article/4b0a2e29b7ed45fcb438be7b4ae793e0

Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving

Autoren: Klimke, Marvin Völz, Benjamin Buchholz, Michael

Quelle: 2023 IEEE Intelligent Vehicles Symposium (IV). :1-8

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Vehicle-to-Infrastructure, Behavior Planning, Vernetzte Fahrzeuge, Bestärkendes Lernen (Künstliche Intelligenz), Machine Learning (cs.LG), Computer Science - Robotics, Reinforcement learning, Car-to-Car-Kommunikation, Motion Planning, Robotics (cs.RO), Test Vehicle

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2304.08280

Hexagon path planning algorithm

Autoren: Hany M. Arnaoot

Quelle: IET Radar, Sonar & Navigation, Vol 16, Iss 12, Pp 1895-1911 (2022)

Schlagwörter: Artificial intelligence, 0209 industrial biotechnology, ECoVG, Robot, FOS: Political science, FOS: Mechanical engineering, Computational Geometry, 02 engineering and technology, Simultaneous Localization and Mapping, 7. Clean energy, Filter (signal processing), Engineering, Geometric Optimization, 0202 electrical engineering, electronic engineering, information engineering, Political science, 4. Education, Obstacle, Mathematical optimization, Mesh Generation Algorithms, Path (computing), geometrical path planning, Computer Graphics and Computer-Aided Design, Programming language, Algorithm, Any-angle path planning, Fast path, Physical Sciences, Telecommunication, Motion planning, Computer Vision and Pattern Recognition, complex environment, Path Planning, ESOVG, Aerospace Engineering, Geometry, Structural engineering, FOS: Law, TK5101-6720, Node (physics), Sampling-Based Motion Planning Algorithms, Point (geometry), Mobile robot, FOS: Mathematics, Real-Time Planning, DVG, Start point, Obstacle avoidance, Computer science, Optimal Motion Planning, Computer Science, Computer vision, autonomous navigation, Law, Mathematics

Zugangs-URL: https://doaj.org/article/f72edf2f0f8c428ea7291001a98ca338

An Overview and Comparison of Traditional Motion Planning Based on Rapidly Exploring Random Trees

Autoren: Yang Chu Quanlin Chen Xuefeng Yan

Quelle: Sensors ; Volume 25 ; Issue 7 ; Pages: 2067

Schlagwörter: kinodynamic planning, motion planning, sampling-based algorithms

Dateibeschreibung: application/pdf

Relation: Navigation and Positioning; https://dx.doi.org/10.3390/s25072067

Verfügbarkeit: https://doi.org/10.3390/s25072067

Research on Cooperative Trajectory Planning Algorithm Based on Tractor-Trailer Wheeled Robot

Autoren: Guannan Lei Yinqiang Zheng

Quelle: IEEE Access, Vol 10, Pp 64209-64221 (2022)

Schlagwörter: Artificial intelligence, 0209 industrial biotechnology, Biomechanics of Bipedal Locomotion in Robots and Animals, Path Planning, Trailer, Robot, Robot Navigation, Chassis, Flexibility (engineering), Astronomy, Biomedical Engineering, Trajectory, Structural engineering, Control (management), 02 engineering and technology, Control of Nonholonomic Mobile Robots, FOS: Medical engineering, Sampling-Based Motion Planning Algorithms, 7. Clean energy, Engineering, Mobile robot, 11. Sustainability, Control theory (sociology), FOS: Mathematics, Computer network, Physics, Statistics, tracking control, Coordination trajectory planning algorithm, Trajectory Tracking, Path (computing), Nonholonomic system, Computer science, prototype experiment, TK1-9971, Programming language, Algorithm, Control and Systems Engineering, Computer Science, Physical Sciences, tractor–trailer wheeled robot (TTWR), Motion planning, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Mathematics

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09363899.pdf
https://doaj.org/article/8e222fe1599b4255a45dd4b0962f6253
https://ieeexplore.ieee.org/abstract/document/9363899/

Self-motion behaviors of kinematically redundant manipulator for continuous path planning

Autoren: Setyamartana Parman Mahmud Iwan Solihin

Quelle: Journal of Advanced Technology and Multidiscipline. 1:1-9

Schlagwörter: Artificial intelligence, 0209 industrial biotechnology, Kinematics, Path Planning, Robot, Economics, Robot Navigation, Kinematic and Dynamic Analysis of Robot Manipulators, Acceleration, Geometry, Heuristic, Control (management), 02 engineering and technology, Sampling-Based Motion Planning Algorithms, Engineering, Dynamics and Control of Multibody Mechanical Systems, FOS: Mathematics, Control theory (sociology), Classical mechanics, Envelope (radar), Topology (electrical circuits), Kinematic Analysis, Bézier curve, Position (finance), Radar, Computer graphics (images), Motion (physics), Physics, Jerk, Path (computing), Computer science, Optimal Motion Planning, Programming language, Trajectory Planning, Control and Systems Engineering, Combinatorics, Physical Sciences, Computer Science, Telecommunications, Motion planning, Planar, Computer vision, Computer Vision and Pattern Recognition, Mathematics, Finance

Path Planning Algorithm Based on Teaching-Learning-Based-Optimization for an Autonomous Vehicle

Autoren: Ahmed D. Sabiha Mohamed A. Kamel Ehab Said et al.

Quelle: Communications, Vol 24, Iss 2, Pp C33-C42 (2022)

Schlagwörter: Artificial intelligence, History, 0209 industrial biotechnology, Robot, 02 engineering and technology, Control of Nonholonomic Mobile Robots, 7. Clean energy, Graph, Engineering, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, HE1-9990, path planning, 4. Education, Mathematical optimization, Trajectory Tracking, Path (computing), Smoothness, FOS: Philosophy, ethics and religion, Programming language, Transportation engineering, Algorithm, Any-angle path planning, Archaeology, Physical Sciences, Motion planning, Computer Vision and Pattern Recognition, Shortest path problem, Path Planning, Science, Epistemology, Sampling-Based Motion Planning Algorithms, Probabilistic Roadmaps, Mathematical analysis, tlbo, Theoretical computer science, teaching-learning-based optimization, Artificial Intelligence, Plan (archaeology), FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Ideal (ethics), Real-Time Planning, TA1001-1280, autonomous vehicle, Computer science, Optimal Motion Planning, Philosophy, Control and Systems Engineering, Computer Science, Transportation and communications, Mathematics, optimization

Zugangs-URL: http://komunikacie.uniza.sk/doi/10.26552/com.C.2022.2.C33-C42.pdf
https://doaj.org/article/a4a46b253ba24cb9b05d413c2fd52d58

Edge Nearest Neighbor in Sampling-Based Motion Planning

Autoren: Ashur, Stav Amato, Nancy M. Har-Peled, Sariel

Schlagwörter: FOS: Computer and information sciences, Robotics, Robotics (cs.RO)

Zugangs-URL: http://arxiv.org/abs/2506.13753

Path planning of water surface garbage cleaning robot based on improved immune particle swarm algorithm

Autoren: Yuqin Wang Alexander A. Hernandez Lixiang Shen et al.

Quelle: AIP Advances, Vol 14, Iss 2, Pp 025217-025217-13 (2024)

Schlagwörter: Artificial intelligence, Path Planning, Robot, Physics, QC1-999, Particle swarm optimization, 02 engineering and technology, Garbage, 01 natural sciences, Sampling-Based Motion Planning Algorithms, Computer science, 7. Clean energy, Control Systems and Network Applications, Optimal Motion Planning, Programming language, Algorithm, Engineering, Control and Systems Engineering, 0103 physical sciences, Computer Science, Physical Sciences, 0202 electrical engineering, electronic engineering, information engineering, Motion planning, Computer Vision and Pattern Recognition

Zugangs-URL: https://doaj.org/article/0cc130add61243c1bcf16431d45a1d2e

HDM-RRT: A Fast HD-Map-Guided Motion Planning Algorithm for Autonomous Driving in the Campus Environment

Autoren: Xiaomin Guo Yongxing Cao Jian Zhou et al.

Quelle: Remote Sensing, Vol 15, Iss 2, p 487 (2023)

Schlagwörter: autonomous driving, HD-Map, motion planning, sampling-based algorithm, algorithm efficiency, Science

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2072-4292/15/2/487; https://doaj.org/toc/2072-4292

Zugangs-URL: https://doaj.org/article/c3d36ca3760841549894a509b1fe9353

Communication-Free MPC-Based Neighbors Trajectory Prediction for Distributed Multi-UAV Motion Planning

Autoren: Zijia Niu Xiaoyang Jia Yao Wang

Quelle: IEEE Access, Vol 10, Pp 13481-13489 (2022)

Schlagwörter: Artificial intelligence, 0209 industrial biotechnology, model predictive control, Computer Networks and Communications, Path Planning, Robot, Astronomy, Trajectory, FOS: Mechanical engineering, 02 engineering and technology, Sampling-Based Motion Planning Algorithms, Probabilistic Roadmaps, Trajectory Prediction, Engineering, Distributed Multi-Agent Coordination and Control, Real-Time Planning, Motion (physics), Physics, Collision avoidance, Computer science, TK1-9971, Optimal Motion Planning, neighbors trajectory prediction, Computer Science, Physical Sciences, Automotive Engineering, path planning for multiple mobile robots or agents, Motion planning, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Autonomous Vehicle Technology and Safety Systems

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09698180.pdf
https://doaj.org/article/fc828d08c8c340909e770832e023d012

Recent progress on sampling based dynamic motion planning algorithms

Autoren: Zengxi Pan Andrew Short Stephen van Duin et al.

Quelle: 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM). :1305-1311

Schlagwörter: 0209 industrial biotechnology, 13. Climate action, 02 engineering and technology

Zugangs-URL: https://ro.uow.edu.au/cgi/viewcontent.cgi?article=7657&context=eispapers
https://ro.uow.edu.au/eispapers/6625/
https://dblp.uni-trier.de/db/conf/aimech/aim2016.html#ShortPLD16
https://ro.uow.edu.au/cgi/viewcontent.cgi?article=7657&context=eispapers
https://ieeexplore.ieee.org/abstract/document/7576950

Motion Planning for Robotics: A Review for Sampling-based Planners

Autoren: Zhang, Liding Cai, Kuanqi Sun, Zewei et al.

Index Begriffe: Computer Science - Robotics, text

URL: http://arxiv.org/abs/2410.19414

Tool Path Optimization for Robotic Surface Machining by Using Sampling-Based Motion Planning Algorithms

Autoren: Jiong Zhang Jiang Han Xiaoqing Tian et al.

Quelle: Journal of Manufacturing Science and Engineering. 143

Schlagwörter: 0209 industrial biotechnology, 0203 mechanical engineering, 02 engineering and technology

Zugangs-URL: https://asmedigitalcollection.asme.org/manufacturingscience/article/143/1/011002/1085072/Tool-Path-Optimization-for-Robotic-Surface

Dynamic Target Search Using Multi-UAVs Based on Motion-Encoded Genetic Algorithm With Multiple Parents

Autoren: Mohammed Ateeq Alanezi Houssem R. E. H. Bouchekara Tijani A. Apalara et al.

Quelle: IEEE Access, Vol 10, Pp 77922-77939 (2022)

Schlagwörter: Optimization, Artificial intelligence, Trajectory Optimization, Unmanned Aerial Vehicle Communications, Robot Navigation, Astronomy, Trajectory, Aerospace Engineering, FOS: Mechanical engineering, 02 engineering and technology, Sampling-Based Motion Planning Algorithms, Multi-Agent Systems, Engineering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Optimization problem, Optimization of Weapon-Target Assignment Problems, Motion (physics), Physics, Mega, motion-encoded genetic algorithm, Computer science, Search algorithm, TK1-9971, Optimal Motion Planning, Algorithm, probabilistic targets, Genetic algorithm, Dynamic target search, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, unmanned aerial vehicles

Zugangs-URL: https://doaj.org/article/9fc4a0444f9646759a1af83967bab2c4