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ICANN
1997
Springer

Minimalistic Approach to 3D Obstacle Avoidance Behavior from Simulated Evolution

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Minimalistic Approach to 3D Obstacle Avoidance Behavior from Simulated Evolution
We present a minimalistic approach to establish obstacle avoidance and course stabilization behavior of a simulated flying autonomous agent in a 3D virtual world. The agent uses visual cues, and its sensory and motor components are based on biological principles found in flies. A simple neural network is used for coupling the receptor and effector systems of the agent. In order to achieve appropriate reactions to sensory input, the connection weights are adjusted by a genetic algorithm under a closed loop action-perception condition.
Titus R. Neumann, Susanne A. Huber, Heinrich H. B&
Added 08 Aug 2010
Updated 08 Aug 2010
Type Conference
Year 1997
Where ICANN
Authors Titus R. Neumann, Susanne A. Huber, Heinrich H. Bülthoff
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