Suchergebnisse - "Sampling-Based Motion Planning Algorithms"

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

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

A Bayesian Neural Network-based Obstacle Avoidance Algorithm for an Educational Autonomous Mobile Robot Platform

Autoren: Anh Tuan Hoang Son T. Nguyen Tuan Van Pham et al.

Quelle: Engineering, Technology & Applied Science Research. 13:12183-12189

Schlagwörter: Artificial neural network, 0209 industrial biotechnology, Artificial intelligence, Robot, Robot Navigation, FOS: Political science, Robot Learning, Aerospace Engineering, FOS: Mechanical engineering, FOS: Law, 02 engineering and technology, Simultaneous Localization and Mapping, Bayesian probability, Sampling-Based Motion Planning Algorithms, Mobile Robots, Engineering, Mobile robot, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Political science, Robot control, Robotic Grasping and Learning from Demonstration, 4. Education, Obstacle, Obstacle avoidance, Computer science, Collision Avoidance, Human-Robot Collaboration, Bayesian network, Control and Systems Engineering, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Law

Trajectory Tracking Control of a Mobile Robot using Neural Networks

Autoren: David Pozo-Espín Luis Morales Danilo Chávez et al.

Quelle: Emerging Science Journal, Vol 7, Iss 6, Pp 1843-1862 (2023)

Schlagwörter: Artificial neural network, Wireless Home Automation Systems, Artificial intelligence, Kinematics, neural network, Robot, Robot Navigation, Astronomy, Sliding Mode Control, Trajectory, trajectory tracking, Backpropagation, Control (management), Control of Nonholonomic Mobile Robots, Sampling-Based Motion Planning Algorithms, Adaptive Control, Engineering, Tracking (education), Mobile robot, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), T1-995, Psychology, Classical mechanics, Electrical and Electronic Engineering, Biology, Technology (General), H1-99, Control engineering, Pedagogy, Physics, Controller (irrigation), robot, Trajectory Tracking, Computer science, Agronomy, Optimal Motion Planning, Social sciences (General), Tracking error, FOS: Psychology, kinematics, Control and Systems Engineering, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, backpropagation

Zugangs-URL: https://doaj.org/article/8aaa4c6cd7ee491c8ecc98b873934ceb

UAVs Path Planning Using Visual-SLAM Technique Based Hybrid Particle Swarm Optimization

Autoren: Mirza Muhammad Ubaid Muhammad Shahzaib Sana Kashmala Salim et al.

Quelle: Journal of Smart Internet of Things. 2023:133-141

Schlagwörter: Artificial intelligence, Path Planning, Trajectory Optimization, Robot, Unmanned Aerial Vehicle Communications, Aerospace Engineering, FOS: Mechanical engineering, 02 engineering and technology, Kinodynamic Planning, Simultaneous Localization and Mapping, Sampling-Based Motion Planning Algorithms, 7. Clean energy, Swarm behaviour, Engineering, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Real-Time Planning, Computer network, Multi-swarm optimization, Particle swarm optimization, Mathematical optimization, Path (computing), Computer science, Optimal Motion Planning, Algorithm, Computer Science, Physical Sciences, Motion planning, Computer vision, Computer Vision and Pattern Recognition, Mathematics

Motion Control of a Mobile Robot Using the Hedge–Algebras-Based Controller

Autoren: Sy-Tai Nguyen Thi-Thoa Mac Hai-Le Bui

Quelle: Journal of Robotics, Vol 2023 (2023)

Schlagwörter: 0209 industrial biotechnology, Artificial intelligence, Robot, Robot Navigation, Control (management), 02 engineering and technology, Control of Nonholonomic Mobile Robots, Sampling-Based Motion Planning Algorithms, Cloud Robotics and Automation Research, Human-Robot Interaction, Adaptive Control, Engineering, Mobile robot, TJ1-1570, 0202 electrical engineering, electronic engineering, information engineering, Control theory (sociology), Mechanical engineering and machinery, Motion control, Biology, Control engineering, Controller (irrigation), Obstacle avoidance, Computer science, Agronomy, Optimal Motion Planning, Fuzzy logic, Workspace, Feedback Control, Control and Systems Engineering, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition

Dateibeschreibung: text/xhtml

Zugangs-URL: https://doaj.org/article/b58db548604a4d5dbc623cc9f988ca3a

Simultaneous motion and shape control of redundant mobile manipulators

Autoren: María del Carmen Claudio Viviana Moya Emanuel Slawiñski et al.

Quelle: International Journal of Engineering Insights. 1:19-24

Schlagwörter: 0209 industrial biotechnology, Artificial intelligence, Robotic Grasping and Learning from Demonstration, Robot, Motion (physics), 4. Education, Kinematic and Dynamic Analysis of Robot Manipulators, Control (management), 02 engineering and technology, Sampling-Based Motion Planning Algorithms, Computer science, Optimal Motion Planning, Human-Robot Collaboration, Engineering, Control and Systems Engineering, Dynamic Modeling, Physical Sciences, Computer Science, 0202 electrical engineering, electronic engineering, information engineering, Redundant Robots, Control theory (sociology), Computer Vision and Pattern Recognition, Motion control, Real-Time Planning

Fast FPGA-Based Image Feature Extraction for Data Fusion in Autonomous Vehicles

Autoren: Jeremías Gaia Amorós Eugenio Orosco Francisco Rossomando et al.

Quelle: International Journal of Engineering Insights. 1:01-08

Schlagwörter: Stereo Vision and Depth Estimation, Artificial intelligence, Feature (linguistics), Aerospace Engineering, FOS: Mechanical engineering, 02 engineering and technology, Simultaneous Localization and Mapping, Pattern recognition (psychology), Sampling-Based Motion Planning Algorithms, 0508 media and communications, Engineering, Extraction (chemistry), 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), Fusion, Embedded system, Chromatography, 05 social sciences, Linguistics, Computer science, Field-programmable gate array, FOS: Philosophy, ethics and religion, Collision Avoidance, Chemistry, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Feature extraction, Computer vision, Computer Vision and Pattern Recognition

Object Tracking with the Drone: Systems Analysis

Autoren: Abbas Aqeel Kareem Dalal Abdulmohsin Hammood Ruaa Ali Khamees et al.

Quelle: Journal of Techniques, Vol 5, Iss 2 (2023)

Schlagwörter: Real-time Tracking, Technology, Visual Tracking, Artificial intelligence, Computer Vision, UAV, Science, Aerospace Engineering, FOS: Mechanical engineering, 02 engineering and technology, Tracking system, Sampling-Based Motion Planning Algorithms, Motion Detection, 7. Clean energy, Visual Object Tracking and Person Re-identification, Systems engineering, Filter (signal processing), Task (project management), Engineering, Tracking (education), 0202 electrical engineering, electronic engineering, information engineering, Genetics, Psychology, Biology, Infrared Small Target Detection and Tracking, Pedagogy, 15. Life on land, Computer science, Drone, FOS: Psychology, Object Tracking, Video tracking, FOS: Biological sciences, Computer Science, Physical Sciences, Multiple Object Tracking, Computer vision, Object (grammar), Computer Vision and Pattern Recognition

Zugangs-URL: https://doaj.org/article/69a88c2eaa86435396af868d4f51da75

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

A Neural Network Controller Design for the Mecanum Wheel Mobile Robot

Autoren: Trinh Thi Khanh Ly Nguyen Thi Tan Thanh Hoang Thien et al.

Quelle: Engineering, Technology & Applied Science Research. 13:10541-10547

Schlagwörter: Artificial neural network, Artificial intelligence, 0209 industrial biotechnology, Robot, Robot Navigation, Astronomy, Trajectory, FOS: Mechanical engineering, Control (management), 02 engineering and technology, Control of Nonholonomic Mobile Robots, Sampling-Based Motion Planning Algorithms, Adaptive Control, Engineering, Context (archaeology), Mobile robot, Control theory (sociology), 0202 electrical engineering, electronic engineering, information engineering, Biology, Feedforward neural network, Control engineering, Physics, Controller (irrigation), Paleontology, Trajectory Tracking, Computer science, Agronomy, Optimal Motion Planning, Path Tracking, Feed forward, Control and Systems Engineering, Advanced Vehicle Dynamics Control Systems, Physical Sciences, Automotive Engineering, Computer Science, Computer Vision and Pattern Recognition

Zone-sensitive RIZOBots in Action: Examining the Behavior of Mobile Robots In a Heterogeneous Environment

Autoren: Osman Balcı Sema Alaçam

Quelle: Blucher Design Proceedings. :397-408

Schlagwörter: Artificial intelligence, Robot, Action (physics), Robot Navigation, FOS: Political science, FOS: Mechanical engineering, FOS: Law, Sampling-Based Motion Planning Algorithms, Quantum mechanics, Industrial and Manufacturing Engineering, Systems engineering, Design and Control of Warehouse Operations, Task (project management), Engineering, Self-Reconfigurable Robotic Systems and Modular Robotics, Mobile robot, Political science, Human–computer interaction, Mechanical Engineering, Physics, Obstacle, Computer science, Physical Sciences, Computer Science, Computer Vision and Pattern Recognition, Law

Fuzzy Logic Control for Balancing a Two-Armed Inverted Pendulum

Autoren: Boutaina EL Kinany Mohammed Alfidi Zakaria Chalh

Quelle: Statistics, Optimization & Information Computing. 11:136-142

Schlagwörter: Artificial intelligence, Robot, Robustness (evolution), Sliding Mode Control, Control (management), Control of Nonholonomic Mobile Robots, Sampling-Based Motion Planning Algorithms, Robust Stabilization, Biochemistry, Quantum mechanics, Gene, 7. Clean energy, Engineering, 11. Sustainability, Control theory (sociology), FOS: Mathematics, Inverted pendulum, Control engineering, Physics, 4. Education, Computer science, Fuzzy logic, Chemistry, Control and Systems Engineering, Physical Sciences, Computer Science, Nonlinear system, Computer Vision and Pattern Recognition, Mathematics

Visual Servoing of a 3R Robot by Metaheuristic Algorithms

Autoren: Inssaf Harrade Achraf Daoui Zakaria Chalh et al.

Quelle: Statistics, Optimization & Information Computing. 11:116-124

Schlagwörter: Stereo Vision and Depth Estimation, Artificial intelligence, Kinematics, Robot, Economics, Robot Navigation, Astronomy, Kinematic and Dynamic Analysis of Robot Manipulators, Trajectory, Metaheuristic, Sampling-Based Motion Planning Algorithms, Engineering, Visual servoing, Classical mechanics, Real-Time Planning, Kinematic Analysis, Position (finance), Physics, Computer science, Optimal Motion Planning, Algorithm, Control and Systems Engineering, Dynamic Modeling, Computer Science, Physical Sciences, Computer vision, Object (grammar), Computer Vision and Pattern Recognition, Finance

A Controller for Delta Parallel Robot Based on Hedge Algebras Method

Autoren: Thanh-Lam Bui Thanh-Hung Nguyen Xuan-Thuan Nguyen

Quelle: Journal of Robotics, Vol 2023 (2023)

Schlagwörter: Artificial intelligence, 0209 industrial biotechnology, Robot, Robot Navigation, Astronomy, Kinematic and Dynamic Analysis of Robot Manipulators, Robot Learning, Trajectory, Control (management), 02 engineering and technology, Sampling-Based Motion Planning Algorithms, Mathematical analysis, Engineering, TJ1-1570, Control theory (sociology), FOS: Mathematics, Mechanical engineering and machinery, Biology, Robotic Grasping and Learning from Demonstration, Domain (mathematical analysis), Physics, Controller (irrigation), Parallel Mechanisms, Computer science, Agronomy, Process (computing), Fuzzy logic, Human-Robot Collaboration, Operating system, Control and Systems Engineering, Physical Sciences, Computer Science, Computer Vision and Pattern Recognition, Mathematics

Dateibeschreibung: text/xhtml

Zugangs-URL: https://doaj.org/article/8a71525dd698419b9bc5f5b9a6ca8e30