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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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Nonholonomic motion planning: steering using sinusoids [PDF]
, 1993 Methods for steering systems with nonholonomic constraints between arbitrary configurations are investigated. Suboptimal trajectories are derived for systems that are not in canonical form.
Murray, Richard M., Sastry, S. Shankar
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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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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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Streamlines for Motion Planning in Underwater Currents [PDF]
, 2019 Motion planning for underwater vehicles must consider the effect of ocean currents. We present an efficient method to compute reachability and cost between sample points in sampling-based motion planning that supports long-range planning over hundreds of
Anstee, Stuart +4 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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, 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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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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