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Light-assisted A⁎ path planning
Engineering Applications of Artificial Intelligence, 2013This paper introduces a novel variant of the A^@? path planning algorithm, which we call Light-assisted A^@? (or LA^@? for short). The LA^@? algorithm expands less nodes than A^@? during the search process, especially in scenarios where there are complex-shaped obstacles in the path between the start and goal nodes.
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2018
Motion planning is an important challenge in robotics research. Efficient generation of collision-free motion is a fundamental capability necessary for autonomous robots;In this dissertation, a fast and practical algorithm for moving a convex polygonal robot among a set of polygonal obstacles with translations and rotations is presented.
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Motion planning is an important challenge in robotics research. Efficient generation of collision-free motion is a fundamental capability necessary for autonomous robots;In this dissertation, a fast and practical algorithm for moving a convex polygonal robot among a set of polygonal obstacles with translations and rotations is presented.
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Improving Path Planning with Learning
1992Abstract We present a learning algorithm designed to improve robot path planning. The algorithm relies on an existing path planner to provide solutions to difficult tasks. From these solutions, it learns a sparse network of useful robot subgoals that guides and supports fast planning.
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On the training of a neural network for online path planning with offline path planning algorithms
International Journal of Information Management, 2021Inkyung Sung
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Path planning techniques for mobile robots: Review and prospect
Expert Systems With Applications, 2023Lixing Liu
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Path Planning for UAV Communication Networks: Related Technologies, Solutions, and Opportunities
ACM Computing Surveys, 2023Junhai Luo, Zhiyan Wang, Ming Xia
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Introduction to robot path planning and an assumption Path planning
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP), 2022openaire +1 more source
Local Multiresolution Path Planning
2004Grid-based methods for finding cost optimal robot paths around obstacles are popular because of their flexibility and simple implementation. However, their computational complexity becomes unfeasible for real-time path planning if the resolution of the grid is high.
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Path planning and obstacle avoidance for AUV: A review
Ocean Engineering, 2021Qixin Sha, Guangliang Li
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