Bao Zhu
Papers
1
Total Citations
1
H-Index
1
About
Bao Zhu is a researcher specializing in precision measurement and robotic calibration, with a particular focus on heavy-load industrial robots and laser-based sensing systems. Their most-cited work introduces a unified model that jointly accounts for geometric, compliance, and extrinsic tracker errors in hand-eye systems equipped with line laser sensors. A key contribution is the Multi-Set Cohesive Calibration method, which eliminates the need for prior extrinsic calibration of the laser tracker—a significant practical advancement. To address the challenges of high-dimensional coupled problems, Zhu developed the EALM hybrid optimizer, which enhances convergence and improves parameter decoupling. This work has already garnered citations, reflecting its relevance to the robotics and metrology communities. By tackling real-world measurement errors in heavy-load industrial settings, Zhu’s research directly supports more accurate and reliable robotic automation, with potential applications in manufacturing, assembly, and quality control. Their systematic approach to calibration and error compensation marks a notable step forward in the field of industrial robotics.
Research Focus
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Top Papers
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