首页|Reports Outline Robotics Findings from Yanshan University (Error Identification and Accuracy Compensation Algorithm for Improved 2rpu/upr+r+p Hybrid Robot)
Reports Outline Robotics Findings from Yanshan University (Error Identification and Accuracy Compensation Algorithm for Improved 2rpu/upr+r+p Hybrid Robot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Robotics. Accordin g to news reporting from Qinhuangdao, People's Republic of China, by NewsRx jour nalists, research stated, "To improve the precision of the 2RPU/UPR+R+P hybrid r obot and fulfill production requirements, error compensation was explored. The r obot's fixed coordinate system was first used to analyze the workbench error map ping matrix." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from Yanshan Universi ty, "Next, the correlation between the joint geometric errors and the moving pla tform kinematic errors of the parallel robot module was examined. The sensitivit y of joint geometric errors to the kinematic errors across the entire workspace was determined using statistical methods. Then, a genetic algorithm was employed to identify the joint geometric errors, leading to a kinematic model that accou nts for these inaccuracies. Subsequently, the accuracy of the robot was measured,and the results showed that the accuracy of the hybrid robot was improved by 7 2% in the X-axis direction with poor accuracy. Finally, a sample p rocessing experiment was conducted by the robot."
QinhuangdaoPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsYan shan University
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