Abstract
2024 OCT 03 (NewsRx)-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 originating from Foshan, People's Republic of China, by NewsRx correspondents, research stated, "In order to improve the posi tioning accuracy of industrial robots, this paper proposes a global calibration method for planar parallel robot considering joint errors, which solves the prob lem that the existing calibration methods only consider part of the error source s and the calibration accuracy is poor, and improves the calibration efficiency and robot positioning accuracy. Consequently, it improves calibration efficiency and the overall precision of robot positioning." Funders for this research include Guangdong Basic and Applied Research Foundatio n, National Natural Science Foundation of China (NSFC), Research Projects of Uni versities in Guangdong Province.
NETL
NSTL