首页|New York Institute of Technology Researcher Updates Understanding of Robotics (G aussian Process-Based Learning Control of Underactuated Balance Robots with an E xternal and Internal Convertible Modeling Structure)
New York Institute of Technology Researcher Updates Understanding of Robotics (G aussian Process-Based Learning Control of Underactuated Balance Robots with an E xternal and Internal Convertible Modeling Structure)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in robotic s. According to news reporting originating fromOld Westbury, New York, by NewsR x correspondents, research stated, “External and internal convertible(EIC) form -based motion control is one of the effective designs of simultaneous trajectory tracking andbalance for underactuated balance robots.”
New York Institute of TechnologyOld We stburyNew YorkUnited StatesNorth and Central AmericaEmerging Technologie sGaussian ProcessesMachine LearningNano-robotRobotics
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