Abstract
The problem of path planning is studied for the case of a robot moving in a three-dimensional known environment. An aggressive algorithm using a description of the obstacles based on neural network is proposed. The algorithm allows constructing an optimal path and the calculation speed for the proposed algorithm is comparatively fast. Simulation results show the effectiveness of the proposed algorithm.
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© 2008 Springer-Verlag Berlin Heidelberg
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Yu, J., Zhang, Q., Kroumov, V., Cheng, S., Zhang, Z. (2008). Path Planning Algorithm for Robot in 3D Environment Based on Neural Network. In: Xiong, C., Huang, Y., Xiong, Y., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88513-9_115
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DOI: https://doi.org/10.1007/978-3-540-88513-9_115
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88512-2
Online ISBN: 978-3-540-88513-9
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