首页|Findings from New York University (NYU) Provides New Data about Robotics (Active Learning of Discrete-time Dynamics for Uncertainty-aware Model Predictive Contr ol)
Findings from New York University (NYU) Provides New Data about Robotics (Active Learning of Discrete-time Dynamics for Uncertainty-aware Model Predictive Contr ol)
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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 New York City, New York, by N ewsRx editors, research stated, “Model-based control requires an accurate model of the system dynamics for precisely and safely controlling the robot in complex and dynamic environments. Moreover, in presence of variations in the operating conditions, the model should be continuously refined to compensate for dynamics changes.”
New York CityNew YorkUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningRobotRobot icsNew York University (NYU)
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