Advances in Robot Path Planning, Volume II
Path planning is fundamental and crucial for various kinds of robots, such as autonomous vehicles, multiple robots, or robot arms. It is crucial to generate a safe path without colliding with obstacles or other robots, in the case of path planning of multiple robots. Considering an aerial robot or u...
में बचाया:
| स्वरूप: | Online |
|---|---|
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| विषय: | |
| ऑनलाइन पहुंच: | ONIX_20250812T110751_9783725837571_166 |
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कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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| _version_ | 1869525123289055232 |
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| collection | Directory of Open Access Books |
| description | Path planning is fundamental and crucial for various kinds of robots, such as autonomous vehicles, multiple robots, or robot arms. It is crucial to generate a safe path without colliding with obstacles or other robots, in the case of path planning of multiple robots. Considering an aerial robot or underwater robot, a safe path must be planned considering the 3D environment. The complexity of path planning of a robot arm increases significantly as the number of degrees of freedom increases. Thus, safe paths must be generated for high-dimensional systems in a time-efficient manner. In practice, an obstacle may move and, thus, a robot’s path must be replanned if necessary. Moreover, it is desirable to consider the dynamic model of a robot when generating a path for the robot. This Special Issue presents the recent research advances in these research topics. |
| format | Online |
| id | doab-20.500.12854ir-165411 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1654112025-08-12T09:28:53Z Advances in Robot Path Planning, Volume II Kim, Jonghoek odometry odometry calibration inverse kinematic omnidirectional mobile robot distributed rendezvous control unmanned underwater vehicle signal amplitude faulty robot network connectivity three dimensional environments fault tolerant control underwater robot wheeled inverted pendulum robot underactuated nonlinear disturbance observer hierarchical sliding mode control ship defense drone target tracking multiple drones multi-agent guidance law fast target grid formation high-speed target RRT*-FDWA maneuver amplitude dynamic path planning local minimum robotic arm real-time obstacle avoidance artificial potential field method joint space trajectory optimization machine learning wheel loader fuel consumption affinity propagation area allocation coverage path planning path planning RRT path optimization complex environments unmanned ship multi-sensor data data fusion positioning system particle filter SLAM adaptive Monte Carlo localization kidnapping Gmapping QR code template library extended Kalman filter coating cleaning point cloud alignment algorithm B-spline curve robot path planning trajectory planning flexible structure energy conservation vibration control flexibility utilization dynamic sampling path trimming mobile robot hexapod robot kinematics gait pattern generation robot A* algorithm heuristic function jump point search mobile robots artificial potential field local minima problem enhanced virtual hill dead-end algorithm thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Path planning is fundamental and crucial for various kinds of robots, such as autonomous vehicles, multiple robots, or robot arms. It is crucial to generate a safe path without colliding with obstacles or other robots, in the case of path planning of multiple robots. Considering an aerial robot or underwater robot, a safe path must be planned considering the 3D environment. The complexity of path planning of a robot arm increases significantly as the number of degrees of freedom increases. Thus, safe paths must be generated for high-dimensional systems in a time-efficient manner. In practice, an obstacle may move and, thus, a robot’s path must be replanned if necessary. Moreover, it is desirable to consider the dynamic model of a robot when generating a path for the robot. This Special Issue presents the recent research advances in these research topics. 2025-08-12T09:28:50Z 2025-08-12T09:28:50Z 2025 book ONIX_20250812T110751_9783725837571_166 9783725837571 9783725837588 https://directory.doabooks.org/handle/20.500.12854/165411 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10763 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3758-8 10.3390/books978-3-7258-3758-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725837571 9783725837588 354 open access |
| spellingShingle | odometry odometry calibration inverse kinematic omnidirectional mobile robot distributed rendezvous control unmanned underwater vehicle signal amplitude faulty robot network connectivity three dimensional environments fault tolerant control underwater robot wheeled inverted pendulum robot underactuated nonlinear disturbance observer hierarchical sliding mode control ship defense drone target tracking multiple drones multi-agent guidance law fast target grid formation high-speed target RRT*-FDWA maneuver amplitude dynamic path planning local minimum robotic arm real-time obstacle avoidance artificial potential field method joint space trajectory optimization machine learning wheel loader fuel consumption affinity propagation area allocation coverage path planning path planning RRT path optimization complex environments unmanned ship multi-sensor data data fusion positioning system particle filter SLAM adaptive Monte Carlo localization kidnapping Gmapping QR code template library extended Kalman filter coating cleaning point cloud alignment algorithm B-spline curve robot path planning trajectory planning flexible structure energy conservation vibration control flexibility utilization dynamic sampling path trimming mobile robot hexapod robot kinematics gait pattern generation robot A* algorithm heuristic function jump point search mobile robots artificial potential field local minima problem enhanced virtual hill dead-end algorithm thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Advances in Robot Path Planning, Volume II |
| title | Advances in Robot Path Planning, Volume II |
| title_full | Advances in Robot Path Planning, Volume II |
| title_fullStr | Advances in Robot Path Planning, Volume II |
| title_full_unstemmed | Advances in Robot Path Planning, Volume II |
| title_short | Advances in Robot Path Planning, Volume II |
| title_sort | advances in robot path planning volume ii |
| topic | odometry odometry calibration inverse kinematic omnidirectional mobile robot distributed rendezvous control unmanned underwater vehicle signal amplitude faulty robot network connectivity three dimensional environments fault tolerant control underwater robot wheeled inverted pendulum robot underactuated nonlinear disturbance observer hierarchical sliding mode control ship defense drone target tracking multiple drones multi-agent guidance law fast target grid formation high-speed target RRT*-FDWA maneuver amplitude dynamic path planning local minimum robotic arm real-time obstacle avoidance artificial potential field method joint space trajectory optimization machine learning wheel loader fuel consumption affinity propagation area allocation coverage path planning path planning RRT path optimization complex environments unmanned ship multi-sensor data data fusion positioning system particle filter SLAM adaptive Monte Carlo localization kidnapping Gmapping QR code template library extended Kalman filter coating cleaning point cloud alignment algorithm B-spline curve robot path planning trajectory planning flexible structure energy conservation vibration control flexibility utilization dynamic sampling path trimming mobile robot hexapod robot kinematics gait pattern generation robot A* algorithm heuristic function jump point search mobile robots artificial potential field local minima problem enhanced virtual hill dead-end algorithm thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | odometry odometry calibration inverse kinematic omnidirectional mobile robot distributed rendezvous control unmanned underwater vehicle signal amplitude faulty robot network connectivity three dimensional environments fault tolerant control underwater robot wheeled inverted pendulum robot underactuated nonlinear disturbance observer hierarchical sliding mode control ship defense drone target tracking multiple drones multi-agent guidance law fast target grid formation high-speed target RRT*-FDWA maneuver amplitude dynamic path planning local minimum robotic arm real-time obstacle avoidance artificial potential field method joint space trajectory optimization machine learning wheel loader fuel consumption affinity propagation area allocation coverage path planning path planning RRT path optimization complex environments unmanned ship multi-sensor data data fusion positioning system particle filter SLAM adaptive Monte Carlo localization kidnapping Gmapping QR code template library extended Kalman filter coating cleaning point cloud alignment algorithm B-spline curve robot path planning trajectory planning flexible structure energy conservation vibration control flexibility utilization dynamic sampling path trimming mobile robot hexapod robot kinematics gait pattern generation robot A* algorithm heuristic function jump point search mobile robots artificial potential field local minima problem enhanced virtual hill dead-end algorithm thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20250812T110751_9783725837571_166 |