首页|Reports from Zhejiang University of Technology Add New Data to Findings in Robotics (A Policy Searched-based Optimization Algorithm for Obstacle Avoidance In Robot Manipulators)
Reports from Zhejiang University of Technology Add New Data to Findings in Robotics (A Policy Searched-based Optimization Algorithm for Obstacle Avoidance In Robot Manipulators)
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NETL
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IEEE
Current study results on Robotics have been published. According to news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Most current learning from demonstration algorithms are only applied in static work environments. However, using the learned skills directly in a changing environment may lead to unpredictable situations, such as collisions.”
HangzhouPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsZhejiang University of Technology
NETL
NSTL
IEEE
