首页|Investigators from Guizhou Normal University Zero in on Robotics (Deep Learning- based Predicting and Compensating Method for the Pose Deviations of Parallel Rob ots)
Investigators from Guizhou Normal University Zero in on Robotics (Deep Learning- based Predicting and Compensating Method for the Pose Deviations of Parallel Rob ots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting out of Guiyang, People’s Republic o f China, by NewsRx editors, research stated, “The static pose accuracy is regard ed as a crucial performance indicator for parallel robots, which is inevitably a ffected by the geometric and nongeometric errors. However, an accurate error mod el for parallel robots is highly complex, especially for mathematical modeling a nd identifying non-geometric errors.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key R & D Program of China, Youth Sci ence and Technology Talents Development Project of Guizhou Education Department, Engineering Research Center of Guizhou Education Department, Doctor Foundation Project of Guizhou University.
GuiyangPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRobotRoboticsGuizhou Normal University
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