TitleTrajectory planning of industrial robots using neural network
AuthorsM.M. Kazheunikau, A.V. Gospad
OrganizationМogilev State University of Food Technologies
AbstractA new method is proposed for trajectory planning of robotic manipulators in the workspace with obstacles, which is based on topologically ordered neural network. This method takes in to account highly-irregular obstacles shape of industrial robotic cells and provides a reduced number of collision checking.
Keywordsrobotic-manipulators, neural network, trajectory planning
For citing this articleKazheunikau M.M., Gospad A.V. Trajectory planning of industrial robots using neural network // The Research of the Science City, 2012, no. 1, pp. 37-41.
This Article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).