首页|Findings from Zhejiang University of Technology Update Knowledge of Robotics (Learning From Human Demonstrations for Wheel Mobile Manipulator: an Unscented Model Predictive Control Approach)
Findings from Zhejiang University of Technology Update Knowledge of Robotics (Learning From Human Demonstrations for Wheel Mobile Manipulator: an Unscented Model Predictive Control Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating in Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Industry4.0 requires new production models to be more flexible and efficient, which means that robots should becapable of flexible skills to adapt to different production and processing tasks. Learning from demonstration(LfD) is considered as one of the promising ways for robots to obtain motion and manipulation skills fromhumans.”
HangzhouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsZhejiang University of Technology
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