首页|Data from University of North Carolina Charlotte Update Knowledge in Robotics (A daptive Sampling of a Stationary Gaussian Spatial Process by a Team of Robots Wi th Heterogeneous Dynamics and Measurement Noise Variance)
Data from University of North Carolina Charlotte Update Knowledge in Robotics (A daptive Sampling of a Stationary Gaussian Spatial Process by a Team of Robots Wi th Heterogeneous Dynamics and Measurement Noise Variance)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on robotics are presented in a new rep ort. According to news reporting originating fromCharlotte, North Carolina, by NewsRx correspondents, research stated, “This paper presents an algorithmfor a team of heterogeneous mobile robots to estimate and adaptively sample a stationa ry, isotropic,Gaussian process.”
University of North Carolina CharlotteCharlotteNorth CarolinaUnited StatesNorth and Central AmericaAlgorithmsEmerging TechnologiesMachine LearningNanorobotRobotics
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