Evolutionary Robotics

Evolutionary Robotics is a branch of robotics that uses evolutionary algorithms like genetic algorithms to automatically develop robots that can perform complex tasks. It is a method for designing controllers for autonomous robots and for automatically evolving them, where a search method is used to generate better behavior-performing robots, by evolution. Evolutionary Robotics has been used for various autonomous tasks, including navigation, obstacle avoidance, mapping, and surveillance. Its use in robotics has opened up new possibilities for automated systems, as it allows for autonomous robots to adapt to new environments, use sparse feedback from uncertain sources and develop robust solutions to difficult problems.