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Proceedings Paper

Robot path planning algorithm based on symbolic tags in dynamic environment
Author(s): A. Vokhmintsev; M. Timchenko; A. Melnikov; A. Kozko; A. Makovetskii
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Paper Abstract

The present work will propose a new heuristic algorithms for path planning of a mobile robot in an unknown dynamic space that have theoretically approved estimates of computational complexity and are approbated for solving specific applied problems.

Paper Details

Date Published: 19 September 2017
PDF: 8 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962E (19 September 2017); doi: 10.1117/12.2273279
Show Author Affiliations
A. Vokhmintsev, Chelyabinsk State Univ. (Russian Federation)
M. Timchenko, Chelyabinsk State Univ. (Russian Federation)
A. Melnikov, Ugra Research Institute of Information Technologies (Russian Federation)
Chelyabinsk State Univ. (Russian Federation)
A. Kozko, Chelyabinsk State Univ. (Russian Federation)
A. Makovetskii, Chelyabinsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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