Papers
1
Total Citations
9
H-Index
1
About
Dr. Kaiqi Gu is a rising researcher in the field of robotics and control systems, with a primary focus on advanced iterative learning control (ILC) for mobile robot trajectory tracking. Their most-cited work, "Discrete open-closed-loop PID-type iterative learning control for trajectory tracking of tracked mobile robots" (2022, 9 citations), introduces a robust discrete-time open-closed-loop PID-type ILC algorithm designed to achieve high-precision tracking in tracked mobile robots (TMRs) despite external disturbances and sensor noise. This contribution is significant for improving the reliability and accuracy of autonomous ground vehicles in real-world, noisy environments. Dr. Gu's research bridges the gap between theoretical control methodologies and practical robotic applications, offering solutions that enhance the performance of repetitive motion tasks. With a growing citation record, Dr. Gu is establishing a reputation for developing robust, implementable control strategies that address key challenges in mobile robotics, making their work valuable for students and researchers interested in intelligent control, automation, and autonomous systems.
Research Focus
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Top Papers
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