Roborace<\/strong> today announced a collaboration with Data:Lab Munich<\/strong> and Italdesign<\/strong> on a machine learning research and development project.<\/p>\n The partnership, which includes data science experts from all partners, is centred on fast and innovative implementation of high-performance machine learning algorithms from race cars to future mobility.<\/p>\n The partnership will utilise Roborace\u2019s all-electric DevBot 2.0 vehicles, which can be driven by a human or artificial intelligence. Roborace will also be bringing its base Autonomous Driving System<\/strong> (ADS) software and technical expertise to the projects, which commence in late-May 2019.<\/p>\n The projects have been designed to push machine learning to the limits<\/strong> and transfer learnings to the development of innovative applications for all partners.<\/p>\n \u201cIt\u2019s incredibly exciting to announce this collaborative project with two leading automotive research and design groups<\/strong>. It\u2019s a perfect example of Roborace\u2019s \u2018Research to Road\u2019 philosophy for the future of motorsport,\u201d said Bryn Balcombe, Roborace\u2019s Chief Strategy Officer. \u201cCutting edge research requires experimentation to push into the unknown or unexplored. Roborace\u2019s closed course challenges push these limits, help uncover new approaches in Artificial Intelligence and robotics which will ultimately create safer roads.\u201d<\/p>\n \u201cRoborace vehicles provide us a highly dynamic and challenging environment for our machine learning development. The unique combination of machine learning and racing inspires us and allows us to rapidly test radical ideas,\u201d added Dr. Marc Hilbert, Team Lead Engineering and Production Technologies, Data:Lab Munich.<\/p>\n \u201cWe are really happy to work on such a challenging and inspiring project aiming to explore future scenarios,\u201d stated Ralph Schuenemann, Italdesign Head of Electrics\/Electronics.<\/strong> \u201cThis is a unique chance for me and my project team to develop, test and finally show our machine learning capabilities by using the high dynamic base Roborace is providing. State of the art Sensor- and Hardware-Setup, compared with the different competencies of each of the partners, ensure the best results and allows to even try ideas nobody of us thought about so far.\u201d<\/p>\n Roborace is also embarking on its first competitive season with multiple teams taking to the track in \u2018Season Alpha\u2019, which saw the first wheel-to-wheel racing by autonomous vehicles at its first race in Monteblanco, Spain.<\/p>\n","protected":false},"excerpt":{"rendered":" Roborace today announced a collaboration with Data:Lab Munich and Italdesign on a machine learning research and development project. The partnership, which includes data science experts from all partners, is centred on fast and innovative implementation of high-performance machine learning algorithms from race cars to future mobility. The partnership will utilise Roborace\u2019s all-electric DevBot 2.0 vehicles, […]<\/p>\n","protected":false},"author":25,"featured_media":10819,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[512],"tags":[],"class_list":["post-13991","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"\n