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)
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-关于机器人的详细数据已经呈现。根据NewsRx Jo Unnists在中华人民共和国昆明的新闻报道，研究表明：“运动学校准在提高工业机器人绝对定位精度方面起着关键作用，参数识别和误差补偿是其核心组成部分。”本研究的资助者包括国家自然科学基金、云南科技项目。
Abstract
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.
Key words
Kunming University of Science and Techno logy/Kunming/People’s Republic of China/Asia/Algorithms/Emerging Technologi es/Machine Learning/Nano-robot/Robot/Robotics
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