首页|New Findings from Technical University Munich (TU Munich) Describe Advances in Machine Learning (Machine Learning-driven Selfdiscovery of the Robot Body Morphology)
New Findings from Technical University Munich (TU Munich) Describe Advances in Machine Learning (Machine Learning-driven Selfdiscovery of the Robot Body Morphology)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Machine Learning. According to news reporting from Munich, Germany, by NewsRx journalists, research stated, "The morphology of a robot is typically assumed to be known, and data from external measuring devices are used mainly for its kinematic calibration. In contrast, we take an agent-centric perspective and ponder the vaguely explored question of whether a robot could learn elements of its morphology by itself, relying on minimal prior knowledge and depending only on unorganized proprioceptive signals." Funders for this research include Alfried Krupp von Bohlen und Halbach Foundation, Lighthouse Initiative Geriatronics by StMWi Bayern (Project X), Lighthouse Initiative KI.FABRIK Bayern by StMWi Bayern, Forschungsund Entwicklungsprojekt, Federal Ministry of Education & Research (BMBF).
MunichGermanyEuropeCyborgsEmerging TechnologiesMachine LearningRobotRoboticsTechnical University Munich (TU Munich)
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