The Force Model: Concept, Behavior, Interpretation

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 substantially 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. Furthermore, this paper argues that the force model is of more general utility. KEY WORDS Genetic Algorithms, Robotics, Engineering

• Type: Conference
• Year: 2003
• Where: APPINF
• Authors: Ralf Salomon
• Keywords: APPINF 2003, Biologically-inspired Force Model, Force Model, Information Technology, Static Physical Properties