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IWANN
1997
Springer

Dynamic Path Planning with Spiking Neural Networks

12 years 5 months ago
Dynamic Path Planning with Spiking Neural Networks
: The path planning problem is relevant for all applications in which a mobil robot should autonomously navigate. Finding the shortest path in an environment that is only partialy known and changing is a difficult problem. Replaning the entire path when the robot encounters new obstacles is computational inefficient. Starting with an initial path and than modify the path locally does not guarantee to find the optimal path. In this paper we present a new path planning algorithm, the radar path planner, which is capable of planning paths in unknown, partially known, and changing environments. Furthermore we present an efficient implementation of the path planner with spiking neurons.
Ulrich Roth, Marc Walker, Arne Hilmann, Heinrich K
Added 08 Aug 2010
Updated 08 Aug 2010
Type Conference
Year 1997
Where IWANN
Authors Ulrich Roth, Marc Walker, Arne Hilmann, Heinrich Klar
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