Home /Research /Robot path planning algorithm based on symbolic tags in dynamic environment
OTHER

Robot path planning algorithm based on symbolic tags in dynamic environment

Aleksandr Vokhmintcev, Andrey Melnikov, Aleksandr Kozko, Mikhail Timchenko, Artyom Makovetskii

Year
2017
Citations
5

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.

Keywords

Motion planningComputer scienceMobile robotHeuristicRobotPath (computing)Theoretical computer scienceAny-angle path planningComputational complexity theoryArtificial intelligence

Related papers

Browse all OTHER papers