What is the concept of evolutionary robotics, and how do robots evolve and adapt through genetic algorithms, artificial selection, and simulated environments to improve performance and behavior over time?

Evolutionary robotics involves creating robotic systems that evolve and adapt to changing environments and tasks through artificial evolution processes inspired by biological evolution. Robots generate diverse behaviors, evaluate them based on predefined fitness criteria, and evolve successful strategies through genetic algorithms and selection mechanisms, leading to robust, adaptive, and resilient robotic behaviors in complex and uncertain environments.