Evolutionary robotics is a technique of automatic programming of autonomous robots. The lecture shows how robot can be learned to solve tasks instead of their direct programming. Algorithms simulating natural evolution (mainly genetic algorithms with neural networks) enable the robots to evolve their abilities in interaction with their environment. In the accompanying seminary, the students will work with robot simulators and robotic kits.
Last update: T_KSVI (05.05.2004)
Evolučná robotika je technika automatického programovania autonómnych robotov. Prednáška sa zaoberá problémom ako roboty učiť riešiť úlohy namiesto ich priameho programovania. Algoritmy modelujúce evolúciu (prevažne genetické algoritmy s neurónovými sieťami) umožňujú, aby si roboty sami vyvinuli svoje schopnosti v interakcii s prostredím. V rámci cvičenia budú študenti pracovať so simulátormi robotov a robotickou stavebnicou.
Literature - Czech
Last update: RNDr. František Mráz, CSc. (05.05.2015)
S. Nolfi, D. Floreano: Evolutionary robotics: the biology, intelligence and technology of self-organizing machines, The MIT Press, Cambridge, Massachusetts, 2000
R. C. Arkin: Behavior-based robotics, The MIT Press, Cambridge, Massachusetts, 1998
D. Floreano, C. Mattiussi: Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies, MIT Press, 2008
Syllabus -
Last update: RNDr. František Mráz, CSc. (05.05.2015)
Behavior-based robotics, robot learning, artificial life. Engineering perspective, biological perspective.
Genetic algorithms, artificial neural networks, neural control of a robot, evolution of neural networks, genetic programming. Robot evolution - simulated and physical.
Evolution of simple navigation - straight motion with obstacle avoidance.