首页|Researcher from Kunming University of Science and Technology Details Findings in Robotics (Kinematic Parameter Identification and Error Compensation of Industri al Robots Based on Unscented Kalman Filter with Adaptive Process Noise Covarianc e)
Researcher from Kunming University of Science and Technology Details Findings in Robotics (Kinematic Parameter Identification and Error Compensation of Industri al Robots Based on Unscented Kalman Filter with Adaptive Process Noise Covarianc e)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on robotics have been presented. Ac cording to news reporting from Kunming, People’s Republic of China, by NewsRx jo urnalists, research stated, “Kinematic calibration plays a pivotal role in enhan cing the absolute positioning accuracy of industrial robots, with parameter iden tification and error compensation constituting its core components.” Funders for this research include National Natural Science Foundation of China; Yunnan Scientific And Technological Projects.
Kunming University of Science and Techno logyKunmingPeople’s Republic of ChinaAsiaAlgorithmsEmerging Technologi esMachine LearningNano-robotRobotRobotics
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