OTHER
Robot path planning for maze navigation
Dimitris C. Dracopoulos
- Year
- 2002
- Citations
- 22
Abstract
This paper presents the application of multilayer perceptrons to the robot path planning problem, and in particular to the task of maze navigation. Previous published results implied that the training of feedforward multilayered networks failed, because of the nonsmoothness of data. Here the same maze problem is revisited.
Keywords
Motion planningComputer scienceTask (project management)RobotPath (computing)Feed forwardArtificial intelligenceSimulationEngineeringControl engineering
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