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A survey of learning‐based robot motion planning
IET Cyber-systems and Robotics, 2021 A fundamental task in robotics is to plan collision‐free motions among a set of obstacles. Recently, learning‐based motion‐planning methods have shown significant advantages in solving different planning problems in high‐dimensional spaces and complex ...
Jiankun Wang +6 more
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3D Dynamic Motion Planning for Robot-Assisted Cannula Flexible Needle Insertion into Soft Tissue [PDF]
, 2016 In robot-assisted needle-based medical procedures, insertion motion planning is a crucial aspect. 3D dynamic motion planning for a cannula flexible needle is challenging with regard to the nonholonomic motion of the needle tip, the presence of anatomic ...
Peng, Jingchun +5 more
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Iraqi Journal for Computers and Informatics, 2023 The development of wheeled ground robots has enabled them to be used for a variety of tasks. These robots must be able to move with accuracy and precision, especially when faced with obstacles or inclines.
Motion planning Israa M. Abdalameer +1 more
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Comprehensive Ocean Information-Enabled AUV Motion Planning Based on Reinforcement Learning
Remote Sensing, 2023 Motion planning based on the reinforcement learning algorithms of the autonomous underwater vehicle (AUV) has shown great potential. Motion planning algorithms are primarily utilized for path planning and trajectory-tracking.
Yun Li +4 more
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Sampling-based Algorithms for Optimal Motion Planning [PDF]
, 2011 During the last decade, sampling-based path planning algorithms, such as Probabilistic RoadMaps (PRM) and Rapidly-exploring Random Trees (RRT), have been shown to work well in practice and possess theoretical guarantees such as probabilistic completeness.
Abramowitz M +51 more
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Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion [PDF]
, 1998 International Conference on Artificial Neural Networks and Genetic Algorithms. 01/01/1997. NorwichA method based on genetic algorithms for obtaining coordinated motion plans of manipulator robots is presented. A decoupled planning approach has been used;
Camacho, Eduardo F. +3 more
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IET Cyber-systems and Robotics, 2020 Motion planning is a vital module for unmanned aerial vehicles (UAVs), especially in scenarios of autonomous navigation and operation. This survey delivers some recent state-of-the-art UAV motion planning algorithms and related applications.
Lun Quan +4 more
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Motion Planning for an Unmanned Surface Vehicle with Wind and Current Effects
Journal of Marine Science and Engineering, 2022 Aiming at the problem that unmanned surface vehicle (USV) motion planning is disturbed by effects of wind and current, a USV motion planning method based on regularization-trajectory cells is proposed.
Shangding Gu +4 more
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Drive the Drive: From Discrete Motion Plans to Smooth Drivable Trajectories
Robotics, 2014 Autonomous navigation in real-world industrial environments is a challenging task in many respects. One of the key open challenges is fast planning and execution of trajectories to reach arbitrary target positions and orientations with high accuracy and ...
Henrik Andreasson +4 more
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, 2007 Let X be a subcomplex of the standard CW-decomposition of the n-dimensional torus. We exhibit an explicit optimal motion planning algorithm for X. This construction is used to calculate the topological complexity of complements of general position ...
Cohen, Daniel C., Pruidze, Goderdzi
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