Evolution and Adaptation of an Agent Driving a Scale Model of a Car with Obstacle Avoidance Capabilities Export

@inproceedings{TJS:Car2, abstract = {We present an approach for evolutionary design of the driving style of an agent, remotely operating a scale model of a car running in a fastest possible way. The agent perceives the environment from a video camera and conveys its actions to the car via standard radio control transmitter. In order to cope with the video feed latency we propose an anticipatory modeling in which the agent considers its current actions based on the anticipated intrinsic (rather than currently available, outdated) state of the car and its surrounding. The driving style is first evolved offline on a software model of the car and then adapted online to the real world. An online evolutionary adaptation of the offline-obtained best styles to the needs to avoid a small obstacle results in lap times that are virtually the same as the best lap times achieved on the same track without obstacles. Presented work is a step towards the automated design of the control software of remotely operated vehicles capable to find an optimal solution to various tasks in different environmental situations. The results, also, can be seen as an attempt to explore the feasibility of developing a framework of adaptive racing games in which the human competes against a computer with matching capabilities, both operating physical, scale models of cars.}, address = {Berlin Heidelberg}, author = {Tanev, Ivan and Joachimczak, Michal and Shimohara, Katsunori}, booktitle = {From Animals to Animats 9: The Ninth International Conference on the Simulation of Adaptive Behavior (SAB 2006)}, citeulike-article-id = {2811235}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11840541_51}, doi = {10.1007/11840541_51}, editor = {Nolfi, Stefano and Baldassarre, Gianluca and Calabretta, Raffaele and Hallam, John C. T. and Marocco, Davide and Meyer, Jean-Arcady and Miglino, Orazio and Parisi, Domenico}, journal = {From Animals to Animats 9}, keywords = {car, evolution, genetic-programming, obstacle-avoidance, racing, scale}, pages = {619--630}, posted-at = {2008-06-25 16:53:51}, priority = {0}, publisher = {Springer-Verlag}, series = {Lecture Notes in Artificial Intelligence}, title = {Evolution and Adaptation of an Agent Driving a Scale Model of a Car with Obstacle Avoidance Capabilities}, url = {http://dx.doi.org/10.1007/11840541_51}, volume = {4095}, year = {2006} }

TY - CONF ID - TJS:Car2 L3 - citeulike-article-id:2811235 N2 - We present an approach for evolutionary design of the driving style of an agent, remotely operating a scale model of a car running in a fastest possible way. The agent perceives the environment from a video camera and conveys its actions to the car via standard radio control transmitter. In order to cope with the video feed latency we propose an anticipatory modeling in which the agent considers its current actions based on the anticipated intrinsic (rather than currently available, outdated) state of the car and its surrounding. The driving style is first evolved offline on a software model of the car and then adapted online to the real world. An online evolutionary adaptation of the offline-obtained best styles to the needs to avoid a small obstacle results in lap times that are virtually the same as the best lap times achieved on the same track without obstacles. Presented work is a step towards the automated design of the control software of remotely operated vehicles capable to find an optimal solution to various tasks in different environmental situations. The results, also, can be seen as an attempt to explore the feasibility of developing a framework of adaptive racing games in which the human competes against a computer with matching capabilities, both operating physical, scale models of cars. JF - From Animals to Animats 9 SE - Lecture Notes in Artificial Intelligence AD - Berlin Heidelberg EP - 630 TI - Evolution and Adaptation of an Agent Driving a Scale Model of a Car with Obstacle Avoidance Capabilities PB - Springer-Verlag VL - 4095 T2 - From Animals to Animats 9: The Ninth International Conference on the Simulation of Adaptive Behavior (SAB 2006) SP - 619 KW - car KW - evolution KW - genetic-programming KW - obstacle-avoidance KW - racing KW - scale AU - Tanev, Ivan AU - Joachimczak, Michal AU - Shimohara, Katsunori A2 - Nolfi, Stefano A2 - Baldassarre, Gianluca A2 - Calabretta, Raffaele A2 - Hallam, John A2 - Marocco, Davide A2 - Meyer, Jean-Arcady A2 - Miglino, Orazio A2 - Parisi, Domenico PY - 2006/// UR - http://dx.doi.org/10.1007/11840541_51 ER -