Suchergebnisse - "sampling-based motion planning algorithms"

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

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

Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms

Autoren: Shishir Sharma Lawrence Rauchwerger Sam Ade Jacobs et al.

Quelle: 2014 IEEE 28th International Parallel and Distributed Processing Symposium. :573-582

Schlagwörter: 0209 industrial biotechnology, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Machine learning guided exploration for sampling-based motion planning algorithms

Autoren: Panagiotis Tsiotras Oktay Arslan

Quelle: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :2646-2652

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/document/7353738/
https://dblp.uni-trier.de/db/conf/iros/iros2015.html#ArslanT15

Dynamic programming guided exploration for sampling-based motion planning algorithms

Autoren: Oktay Arslan Panagiotis Tsiotras

Quelle: 2015 IEEE International Conference on Robotics and Automation (ICRA). :4819-4826

Schlagwörter: 0209 industrial biotechnology, 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 12. Responsible consumption

Zugangs-URL: http://dblp.uni-trier.de/db/conf/icra/icra2015.html#ArslanT15
https://ieeexplore.ieee.org/document/7139869/
http://dcsl.gatech.edu/papers/icra15b.pdf
http://ieeexplore.ieee.org/iel7/7128761/7138973/07139869.pdf?arnumber=7139869
https://dblp.uni-trier.de/db/conf/icra/icra2015.html#ArslanT15
http://ieeexplore.ieee.org/document/7139869/

Application of Sampling-Based Motion Planning Algorithms in Autonomous Vehicle Navigation

Autoren: Khaksar, Weria Mohamed Sahari, Khairul Salleh Tang, Sai Hong et al.

Weitere Verfasser: Khaksar, Weria Mohamed Sahari, Khairul Salleh Tang, Sai Hong et al.

Quelle: Autonomous Vehicle ISBN: 9789535125846
Autonomous Vehicle

Dateibeschreibung: text

Zugangs-URL: https://www.intechopen.com/citation-pdf-url/51781
http://www.intechopen.com/articles/show/title/application-of-sampling-based-motion-planning-algorithms-in-autonomous-vehicle-navigation

Sampling-based motion planning algorithms for dynamical systems

Autoren: Emilio Frazzoli. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Jeon, Jeong hwan, Ph. D. Massachusetts Institute of Technology

Index Begriffe: Aeronautics and Astronautics., Thesis

URL: http://hdl.handle.net/1721.1/101443

Sampling-Based Motion Planning Algorithms for Replanning and Spatial Load Balancing

Autoren: Boardman, Beth Leigh

Schlagwörter: Robotics, Motion Planning, Multi-Agent, Replanning, Spatial Load Balancing

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/15c5r1hf
https://escholarship.org/content/qt15c5r1hf/qt15c5r1hf.pdf

Sampling-Based Motion Planning Algorithms for Replanning and Spatial Load Balancing

Autoren: Martinez, Sonia Boardman, Beth Leigh

Index Begriffe: Robotics, Motion Planning, Multi-Agent, Replanning, Spatial Load Balancing, publication

URL: https://escholarship.org/uc/item/15c5r1hf
https://escholarship.org/content/qt15c5r1hf/qt15c5r1hf.pdf

Application of sampling-based motion planning algorithms in autonomous vehicle navigation

Autoren: Zak, Andrzej Khaksar, Weria Mohamed Sahari, Khairul Salleh et al.

Index Begriffe: Book Section, PeerReviewed

URL: http://psasir.upm.edu.my/id/eprint/52681/1/Application%20of%20sampling-based%20motion%20planning%20algorithms%20in%20autonomous%20vehicle%20navigation.pdf
http://psasir.upm.edu.my/id/eprint/52681/
https://www.intechopen.com/chapters/51781
http://psasir.upm.edu.my/id/eprint/52681
https://www.intechopen.com/chapters/51781
10.5772/64730

Optimizations for sampling-based motion planning algorithms

Autoren: Emilio Frazzoli. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Bialkowski, Joshua John

Index Begriffe: Aeronautics and Astronautics., Thesis

URL: http://hdl.handle.net/1721.1/87475

Analysis of Asymptotically Optimal Sampling-based Motion Planning Algorithms for Lipschitz Continuous Dynamical Systems

Autoren: Papadopoulos, Georgios Kurniawati, Hanna Patrikalakis, Nicholas M.

Index Begriffe: Computer Science - Robotics, text

URL: http://arxiv.org/abs/1405.2872

Development of the robotic motion controller for a wheeled manipulator

Autoren: Thanh Phương Nguyễn Hung T. Nguyen Ha Quang Thinh Ngo

Quelle: Measurement + Control, Vol 58 (2025)

Schlagwörter: Artificial intelligence, 0209 industrial biotechnology, Robot, Robot Navigation, Sliding Mode Control, Control (management), 02 engineering and technology, Control of Nonholonomic Mobile Robots, Sampling-Based Motion Planning Algorithms, 7. Clean energy, Cloud Robotics and Automation Research, Human-Robot Interaction, 12. Responsible consumption, Adaptive Control, Engineering, Manipulator (device), Mobile robot, 11. Sustainability, Control theory (sociology), 0202 electrical engineering, electronic engineering, information engineering, T1-995, Motion control, Biology, Technology (General), Mobile manipulator, Control engineering systems. Automatic machinery (General), Robot manipulator, Control engineering, Motion (physics), Controller (irrigation), Computer science, Agronomy, Optimal Motion Planning, Control and Systems Engineering, TJ212-225, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition

Zugangs-URL: https://doaj.org/article/1e4d144a54f9439790f6152ea93b48fb

Software Tool for Drone Flight Management in Supervising Building Extern Façades

Autoren: Bladimir Bacca Cortés Mateo Barrera-Zapata Javier Ferney Castillo García

Quelle: Investigación e Innovación en Ingenierías. 12:83-101

Schlagwörter: Deterioro de fachadas, UAV, Robot Navigation, Façade deterioration, ROS, Imagen mosaico, Aeronautics, Sampling-Based Motion Planning Algorithms, Computer science, Drone, Operating system, Engineering, Image processing, FOS: Biological sciences, Computer Science, Physical Sciences, Genetics, Procesamiento de imágenes, Computer Vision and Pattern Recognition, Biology, Mosaic image, Software

Dateibeschreibung: 16 páginas; application/pdf

Zugangs-URL: https://hdl.handle.net/10614/16227

Dislocation hyperbolic augmented Lagrangian algorithm in convex programming

Autoren: Lennin Mallma Ramirez Nelson Maculan Adilson Elias Xavier et al.

Quelle: An International Journal of Optimization and Control: Theories & Applications (IJOCTA). 14:147-155

Schlagwörter: Composite material, Numerical Analysis, 0209 industrial biotechnology, Numerical Optimization Techniques, Mathematical optimization, 0211 other engineering and technologies, Geometry, Iterative Algorithms for Nonlinear Operators and Optimization, 02 engineering and technology, Sampling-Based Motion Planning Algorithms, Computer science, Mathematical analysis, Materials science, Convex optimization, Regular polygon, Algorithm, Computational Theory and Mathematics, Computer Science, Physical Sciences, FOS: Mathematics, Dislocation, Augmented Lagrangian method, Computer Vision and Pattern Recognition, Mathematics, Lagrangian

A scalable method for parallelizing sampling-based motion planning algorithms

Autoren: Jory Denny Nancy M. Amato Kasra Manavi et al.

Quelle: 2012 IEEE International Conference on Robotics and Automation.

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method

Autoren: Souhail Dhouib

Quelle: Cognitive Robotics, Vol 4, Iss, Pp 62-73 (2024)

Schlagwörter: Shortest path problem, Artificial intelligence, Path Planning, Robot, Robot Navigation, Aerospace Engineering, FOS: Mechanical engineering, Operations research, Control of Nonholonomic Mobile Robots, Simultaneous Localization and Mapping, Sampling-Based Motion Planning Algorithms, Probabilistic Roadmaps, 7. Clean energy, Mobile Robots, Engineering, Cognition, Mobile robot, Psychology, Dhouib-Matrix-SPP, Path planning, Computer network, Human–computer interaction, QA75.5-76.95, Path (computing), Computer science, Optimal Motion Planning, FOS: Psychology, Control and Systems Engineering, Electronic computers. Computer science, Computer Science, Physical Sciences, Motion planning, Computer Vision and Pattern Recognition, Neuroscience

Zugangs-URL: https://doaj.org/article/5844ae52ebce4018b71cd4433f309dbe

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

Assessing the accuracy and efficiency of kinematic analysis tools for six-DOF industrial manipulators: The KUKA robot case study

Autoren: Mohamed S. Elhadidy Waleed S. Abdalla Alaa A. Abdelrahman et al.

Quelle: AIMS Mathematics, Vol 9, Iss 6, Pp 13944-13979 (2024)

Schlagwörter: 0209 industrial biotechnology, Artificial intelligence, Kinematics, kinematic analysis, Robot, Economics, Kinematic and Dynamic Analysis of Robot Manipulators, Ocean Engineering, Control (management), 02 engineering and technology, Sampling-Based Motion Planning Algorithms, 7. Clean energy, Application of Diagnostic Techniques in Oil Wells, Engineering, Manipulator (device), kuka industrial manipulator, Machine learning, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, Control theory (sociology), Classical mechanics, Stability (learning theory), Kinematic Analysis, Position (finance), particle swarm optimization, Robot manipulator, 9. Industry and infrastructure, Particle swarm optimization, Control engineering, Physics, roboanalyzer, Computer science, peter corke toolbox, Programming language, Algorithm, Control and Systems Engineering, Physical Sciences, Computer Science, Computer Vision and Pattern Recognition, Toolbox, Mathematics, Simulation, Finance

Zugangs-URL: https://doaj.org/article/5b3904554fef406ea596c654fbc7643d

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