New Robotics Findings Reported from University of Manchester (Design and Experim ental Validation of Deep Reinforcement Learning-based Fast Trajectory Planning a nd Control for Mobile Robot In Unknown Environment)
New Robotics Findings Reported from University of Manchester (Design and Experim ental Validation of Deep Reinforcement Learning-based Fast Trajectory Planning a nd Control for Mobile Robot In Unknown Environment)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Robotics have been publi shed. According to news originating from Manchester, United Kingdom, by NewsRx c orrespondents, research stated, "This article is concerned with the problem of p lanning optimal maneuver trajectories and guiding the mobile robot toward target positions in uncertain environments for exploration purposes. A hierarchical de ep learning-based control framework is proposed which consists of an upper level motion planning layer and a lower level waypoint tracking layer." Financial support for this research came from Engineering & Physic al Sciences Research Council (EPSRC).
Key words
Manchester/United Kingdom/Europe/Algo rithms/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robotics/University of Manchester
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