eprintid: 26561 rev_number: 9 eprint_status: archive userid: 19147 dir: disk0/00/02/65/61 datestamp: 2018-12-05 14:47:38 lastmod: 2021-04-02 15:58:30 status_changed: 2018-12-05 14:47:38 type: article metadata_visibility: show creators_name: Sanchez, Stéphane creators_name: Cussat-Blanc, Sylvain creators_idrefppn: 148741762 title: Gene Regulated Car Driving ispublished: pub subjects: subjects_INFO abstract: This paper presents a virtual racing car controller based on an artificial gene regulatory network. Usually used to control virtual cells in developmental models, recent works showed that gene regulatory networks are also capable to control various kinds of agents such as foraging agents, pole cart, swarm robots, etc. This paper details how a gene regulatory network is evolved to drive on any track through a three-stages incremental evolution. To do so, the inputs and outputs of the network are directly mapped to the car sensors and actuators. To make this controller a competitive racer, we have distorted its inputs online to make it drive faster and to avoid opponents. Another interesting property emerges from this approach: the regulatory network is naturally resistant to noise. To evaluate this approach, we participated in the 2013 simulated racing car competition against eight other evolutionary and scripted approaches. After its first participation, this approach finished in third place in the competition. date: 2014-06 date_type: published publisher: Springer id_number: 10.1007/s10710-014-9228-y official_url: http://link.springer.com/article/10.1007/s10710-014-9228-y - http://oatao.univ-toulouse.fr/13161/ sub_title: Using a Gene Regulatory Network to Drive a Virtual Car faculty: info divisions: IRIT language: en has_fulltext: TRUE doi: 10.1007/s10710-014-9228-y view_date_year: 2014 full_text_status: public publication: Genetic Programming and Evolvable Machines volume: 15 number: 4 pagerange: 477-511 refereed: TRUE issn: 1389-2576 oai_identifier: BibTeX_Sa2014.15 harvester_local_overwrite: subjects harvester_local_overwrite: eprintid harvester_local_overwrite: userid harvester_local_overwrite: date harvester_local_overwrite: dir harvester_local_overwrite: edition harvester_local_overwrite: publisher harvester_local_overwrite: date_type harvester_local_overwrite: language harvester_local_overwrite: volume harvester_local_overwrite: faculty harvester_local_overwrite: book_title harvester_local_overwrite: sub_title harvester_local_overwrite: site harvester_local_overwrite: divisions harvester_local_overwrite: editors_name harvester_local_overwrite: title harvester_local_overwrite: type harvester_local_overwrite: publication harvester_local_overwrite: abstract harvester_local_overwrite: place_of_pub harvester_local_overwrite: pagerange harvester_local_overwrite: creators_name harvester_local_overwrite: refereed harvester_local_overwrite: official_url harvester_local_overwrite: keywords harvester_local_overwrite: ispublished harvester_local_overwrite: number harvester_local_overwrite: issn harvester_local_overwrite: id_number harvester_local_overwrite: creators_idrefppn site: ut1 citation: Sanchez, Stéphane and Cussat-Blanc, Sylvain (2014) Gene Regulated Car Driving: Using a Gene Regulatory Network to Drive a Virtual Car. Genetic Programming and Evolvable Machines, 15 (4). pp. 477-511. document_url: https://publications.ut-capitole.fr/id/eprint/26561/1/s10710-014-9228-y