首页|Findings from Nankai University in the Area of Robotics Described (Representatio n Reinforcement Learning-based Dense Control for Point Following With State Spar se Sensing of 3-d Snake Robots)
Findings from Nankai University in the Area of Robotics Described (Representatio n Reinforcement Learning-based Dense Control for Point Following With State Spar se Sensing of 3-d Snake Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics are presented i n a new report. According to news reporting fromTianjin, People’s Republic of C hina, by NewsRx journalists, research stated, “During robot movements,the envir onmental states often fail to update in real-time due to interference from vario us factors, such asobstacle obstructions, communication disruptions, etc., whic h commonly results in interruptions or evenfailures in motion control. To achie ve dense motion control under sparse state sensing, an importantchallenge is to predict future multiple actions based on sparse states, which is hindered by th e large andcomplex action search space.”
TianjinPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRobotRoboticsNankai University
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