首页|New Robotics Findings from Wuhan Institute of Technology Described (Ihuvs: Infin ite Homography-based Uncalibrated Methodology for Robotic Visual Servoing)
New Robotics Findings from Wuhan Institute of Technology Described (Ihuvs: Infin ite Homography-based Uncalibrated Methodology for Robotic Visual Servoing)
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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 out of Wuhan, People's Republic of China, by New sRx editors, research stated, "The construction of task functions in robotic man ipulation is of paramount importance for uncalibrated visual servoing. The exist ing methods generally use image information as control variables and estimate th e image Jacobian matrix online, thus possessing issues relating to convergence, and image Jacobian matrix singularities." Funders for this research include National Natural Science Foundation of China ( NSFC), Foundation of State Key Laboratory of Digital Manufacturing Equipment and Technology, Royal Society International Exchanges 2021 Cost Share (RS-NSFC), Ce ntral Guidance on Local Science and Technology Development Foundation of Hubei P rovince.
WuhanPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsRobotsWuhan Institu te of Technology
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