Evolutionary Robotics

Evolutionary robotics leverages evolutionary algorithms to design and optimize robots, aiming to create more adaptable and robust systems than those designed solely by humans. Current research focuses on co-evolving robot bodies and controllers, often employing neural networks and algorithms like MAP-Elites and genetic algorithms, to address challenges in swarm robotics, exploration, and manipulation tasks. This approach offers a powerful tool for automating robot design, improving performance in complex environments, and providing insights into the principles of biological evolution itself, with implications for both scientific understanding and practical robotic applications.