首页|Findings from Chinese Academy of Sciences Provide New Insights into Robotics (A Local Poe-based Self-calibration Method Using Position and Distance Constraints for Collaborative Robots)
Findings from Chinese Academy of Sciences Provide New Insights into Robotics (A Local Poe-based Self-calibration Method Using Position and Distance Constraints for Collaborative Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Robotics is now availab le. According to news reporting originating from Zhejiang, People's Republic of China, by NewsRx correspondents, research stated, "Collaborative robots are desi gned to not only work alongside humans but also adapt to new tasks quickly. To i mprove their absolute accuracy, self-calibration methods utilizing portable meas urement devices are cost-effective solutions." Funders for this research include National Key Research and Development Program of China, National Natural Science Foundation of China (NSFC), Key Research and Development Program of Zhejiang, China.
ZhejiangPeople's Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsChines e Academy of Sciences
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