Won Bo Jang
Papers
1
Total Citations
2
H-Index
1
About
Won Bo Jang is a robotics researcher whose work centers on improving the precision and reliability of industrial robot manipulators. His primary research area is kinematic calibration, a critical field that addresses the gap between a robot’s theoretical design and its real-world performance. Jang’s major contribution, detailed in his 2022 paper “Kinematic Calibration based on Position of Robot Manipulator Eliminating Redundancy of Parameters,” tackles a fundamental challenge: manufacturing errors cause discrepancies between nominal and actual robot parameters, leading to positional inaccuracies. He developed a novel calibration method that eliminates redundant parameters, enabling more accurate end-effector positioning without unnecessary computational complexity. This work is essential for tasks requiring high absolute position accuracy, such as precision assembly or machining. While his citation count is currently modest (2 citations), the practical significance of his approach positions him as an emerging voice in robotics. Jang’s research directly supports the advancement of automation in manufacturing, where even minor errors can compromise quality and efficiency. For students and researchers exploring robot calibration, sensor integration, or industrial automation, Jang’s work offers a streamlined, effective solution to a persistent engineering problem.
Research Focus
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Top Papers
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