Lijun Qiao
Papers
9
Total Citations
211
H-Index
7
About
Lijun Qiao is a robotics researcher whose work spans robot kinematics, motion control, path planning, and calibration — areas fundamental to the development of intelligent, autonomous robotic systems. Qiao's most influential contribution is a widely cited 2021 overview of hand-eye calibration (106 citations), establishing a comprehensive reference for researchers working on robot perception and spatial reasoning. This expertise extends to practical applications, including hand-eye calibration for dual-arm explosive ordnance disposal (EOD) robots, bridging theoretical frameworks with high-stakes real-world deployment. In motion control, Qiao proposed a Model Predictive Control method with integral compensation (MPC-I) to improve trajectory accuracy in robot manipulators, addressing the persistent challenge of unmodeled dynamics. His path planning research has produced an optimized probabilistic roadmap algorithm for navigating complex, narrow-channel environments, as well as a multigoal planning approach tailored for EOD robots. Qiao has also made meaningful contributions to solving inverse kinematics through differential evolution algorithms, including the novel BODE-CS method designed to overcome premature convergence. Collectively, his work — accumulating over 200 citations — reflects a consistent focus on making robotic systems more precise, adaptable, and practically deployable in demanding environments.
Research Focus
Key Achievements
Top Papers
- 1An overview of hand-eye calibration106 citations · 2021
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- 5Inverse Kinematics of Robot Manipulator Based on BODE-CS Algorithm8 citations · 2023
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