Papers
6
Total Citations
50
H-Index
4
About
Ruolong Qi is a leading researcher in robotic kinematics, calibration, and intelligent manipulation for extreme environments. His work centers on enhancing the precision and autonomy of serial manipulators, particularly through advanced kinematic calibration methods. His most influential contribution, "An improved kinematic calibration method for serial manipulators based on POE formula" (2018, 23 citations), addresses the critical challenge of minimizing measurement errors in orientation, significantly boosting identification accuracy for industrial robots. Qi has also pioneered practical applications for hazardous settings, including an integrated manipulator for point cloud measurement and precise cutting of nuclear waste tanks (2021, 3 citations), and trajectory generation for friction stir welding on large thin-walled parts (2016, 5 citations). His research extends to self-calibration for unattended manipulators using Gaussian motion models and visual systems (2021, 2 citations), vital for space stations and nuclear facilities. By combining theoretical rigor with real-world deployment—from virtual control simulation (2013) to probabilistic obstacle avoidance (2017)—Qi’s work ensures robots operate reliably where human intervention is impossible, marking him as a key innovator in autonomous robotic systems for safety-critical industries.
Research Focus
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