Optimizing Modular Robot Composition: Genetic Algorithm Approach

The authors propose a genetic algorithm with a lexicographic fitness function to optimize modular robot composition for industrial tasks. Their approach outperforms existing methods by efficiently exploring complex search spaces and synthesizing tailored solutions.