首页|Research from University of Shanghai for Science and Technology in Robotics Prov ides New Insights (Instance Segmentation of Sparse Point Clouds with Spatio-Temp oral Coding for Autonomous Robot)
Research from University of Shanghai for Science and Technology in Robotics Prov ides New Insights (Instance Segmentation of Sparse Point Clouds with Spatio-Temp oral Coding for Autonomous Robot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news reporting out of Shanghai, People’s Republic o f China, by NewsRx editors, research stated, “In the study of Simultaneous Local ization and Mapping (SLAM), the existence of dynamic obstacles will have a great impact on it, and when there are many dynamic obstacles, it will lead to great challenges in mapping.” Financial supporters for this research include National Key Research & Development Plan of Ministry of Science And Technology of China.
University of Shanghai for Science and T echnologyShanghaiPeople’s Republic of ChinaAsiaAutonomous RobotEmergin g TechnologiesMachine LearningNanorobotRobotRobotics
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