Results 21 to 30 of about 119,993 (264)
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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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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Motion Planning for Multiple Robots [PDF]
Discrete & Computational Geometry, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boris Aronov +4 more
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Motion Planning for Kinematic Systems [PDF]
IEEE Transactions on Automatic Control, 2013 In this paper, we present a general theory of motion planning for kinematic systems. This theory has been developed for long by one of the authors in a previous series of papers. It is mostly based upon concepts from subriemannian geometry. Here, we summarize the results of the theory, and we improve on, by developping in details an intricated case ...
Boizot, Nicolas, Gauthier, Jean-Paul
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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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Occlusion-Aware Motion Planning for Autonomous Driving
IEEE Access, 2023 Motion planning for autonomous vehicles remains a challenge in urban road environments with occlusions. In this study, we present a motion planning framework that prioritizes safety, comfort, and efficiency to enable autonomous vehicles to navigate ...
Denggui Wang +3 more
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Path Tracking in Motion Planning [PDF]
The Computer Journal, 1993 Summary: The inverse kinematics problem asks to determine the configurations of a robot manipulator that places the tip of the robot in a given position and orientation. The generalization of this problem, called path tracking or path following, is to determine if there exists a path of a manipulator in which the tip follows a given path.
M. J. González-López, Tomás Recio
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UaMPNet: Uncertainty-Aware Motion Planning Network for Manipulator Motion Planning
IEEE AccessIn this study, we propose the Uncertainty-aware Motion Planning Network (UaMPNet) to address the challenges of learning-based motion planning in out-of-distribution scenarios, such as novel environments, with a primary focus on enhancing motion planning ...
Eunhoo Lee, Hyunseok Yang
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Survey of optimal motion planning
IET Cyber-systems and Robotics, 2019 Optimal motion planning becomes more and more important these days and is critical for motion planning algorithms developed in the academia to be applicable to real-world applications.
Yajue Yang, Jia Pan, Weiwei Wan
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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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