首页|Investigators at Sun Yat-sen University Detail Findings in Robotics (Image-based Composite Learning Robot Visual Servoing With an Uncalibrated Eye-to-hand Camera)
Investigators at Sun Yat-sen University Detail Findings in Robotics (Image-based Composite Learning Robot Visual Servoing With an Uncalibrated Eye-to-hand Camera)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news reporting originating in Shenzhen, People's Republic of China, by NewsRx journalists, research stated, “Adaptive visual servoing base d on a depth-independent interaction matrix is effective for uncalibrated robot visual servoing when both the intrinsic and extrinsic parameters of a camera are unknown. But current results on this topic omit the analysis of parameter conve rgence that is beneficial to improving the overall performance and robustness of robot control systems.”
ShenzhenPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsSun Yat-sen University
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