What is the concept of evolutionary robotics, and how do robots use genetic algorithms, neural networks, and simulation-based evolution to evolve and adapt to changing environments and tasks?

Evolutionary robotics involves creating robotic systems that evolve and adapt through artificial evolution processes inspired by natural selection and genetic algorithms. Robots generate diverse behaviors, test them in simulated or real environments, and select the most successful strategies to improve performance and achieve desired goals over successive generations.