The Force Model: Concept, Behavior, Interpretation

R. Salomon (Germany)


Genetic Algorithms, Robotics, Engineering


Most experiments in research on autonomous agents and mobile robots are performed either in simulation or on robots with static physical properties; evolvable hardware is hardly ever used. One of the very rare exceptions is the eyebot on which Lichtensteiger and Eggenberger have evolved simplified insect eyes [6]. Even though substan tially improved, the evolutionary models currently applied still lack both scalability and noise-resistance. To tackle these problems, this paper proposes a biologically-inspired force model for this class of real-world applications. The simulation results clearly indicate that this model provides a significant improvement over existing limitations. Fur thermore, this paper argues that the force model is of more general utility.

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