Yoshinori Nakata
Papers
1
Total Citations
87
H-Index
1
About
Yoshinori Nakata is a pioneering researcher in robotics and precision engineering, whose work has significantly advanced the accuracy and reliability of industrial robots. His primary research areas include kinematic calibration, error compensation, and optimization of robotic systems. Nakata’s most influential contribution, detailed in his highly cited 2010 paper (87 citations), introduces a novel method for improving robot accuracy by calibrating kinematic models using a laser tracking system. He ingeniously combines geometric parameter calibration with neural network-based compensation for non-geometric errors, while employing genetic algorithms to select optimal measurement points. This integrated approach dramatically reduces positioning errors, setting a new standard for precision in robotic manufacturing. Nakata’s work has had a profound impact on fields requiring high-accuracy automation, such as aerospace and medical robotics. His innovative fusion of machine learning and optimization techniques continues to inspire researchers and engineers seeking to push the boundaries of robot performance, making him a respected figure in the robotics community.
Research Focus
Key Achievements
Top Papers
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