Zeng Kang
Papers
2
Total Citations
34
H-Index
2
About
Dr. Zeng Kang is a leading figure in precision robotics, specializing in the kinematic calibration and accuracy enhancement of six-degree-of-freedom (6-DOF) industrial robots. His research addresses a critical bottleneck in advanced manufacturing: the systematic error in robot positioning that limits automation in high-precision tasks like aerospace assembly and machining. Dr. Kang’s major contribution lies in developing innovative, data-efficient calibration methodologies. His most influential work, a 2024 paper with 26 citations, introduces a two-step calibration approach that groups kinematic parameters based on distance constraints, significantly improving identification accuracy over traditional single-step methods. This work builds on his earlier 2023 study (8 citations), which proposed a sequential calibration of joint transmission ratios using a laser tracker, demonstrating a practical, stepwise path to error reduction. By strategically isolating parameter contributions—recognizing that not all errors equally affect tool center point positioning—Dr. Kang has created more robust, cost-effective calibration protocols. His achievements are pivotal for industries demanding sub-millimeter robot accuracy, and his methodologies are increasingly adopted as standards for next-generation robotic system validation.
Research Focus
Key Achievements
Top Papers
- 1
- 2