首页|Reports Outline Robotics and Automation Findings from Technical University Munic h (TU Munich) (Vision-based Uncertainty-aware Motion Planning Based On Probabili stic Semantic Segmentation)
Reports Outline Robotics and Automation Findings from Technical University Munic h (TU Munich) (Vision-based Uncertainty-aware Motion Planning Based On Probabili stic Semantic Segmentation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics - Ro botics and Automation have been published. According to news reporting out of Mu nich, Germany, by NewsRx editors, research stated, “For safe operation, a robot must be able to avoid collisions in uncertain environments. Existing approaches for motion planning under uncertainties often assume parametric obstacle represe ntations and Gaussian uncertainty, which can be inaccurate.”
MunichGermanyEuropeRobotics and Au tomationRoboticsTechnical University Munich (TU Munich)
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