TY - CHAP U1 - Konferenzveröffentlichung A1 - Lechner, Werner A1 - Müller, Frank T1 - Intelligent Control of Autonomous Six-Legged Robots by Neural Networks N2 - Autonomous mobile six-legged robots are able to demonstrate the potential of intelligent control systems based on recurrent neural networks. The robots evaluate only two forward and two backward looking infrared sensor signals. Fast converging genetic training algorithms are applied to train the robots to move straight in six directions. The robots performed successfully within an obstacle environment and there could be observed a never trained useful interaction between each of the single robots. The paper describes the robot systems and presents the test results. Video clips are downloadable under www.inform.fh-hannover.de/download/lechner.php. Held on IFAC International Conference on Intelligent Control Systems and Signal Processing (ICONS 2003, April 2003, Portugal). KW - Künstliche Intelligenz KW - Robotik KW - Neuronales Netz KW - Genetischer Algorithmus KW - Intelligent control KW - Articial intelligence KW - Neural networks KW - Neural controls KW - Neural-network models KW - Robotics KW - Genetic algorithms Y1 - 2003 UN - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus-289 U6 - https://doi.org/10.25968/opus-103 DO - https://doi.org/10.25968/opus-103 ER -