Papers
2
Total Citations
19
H-Index
2
About
Haoqi Du is a robotics researcher whose work bridges intelligent control systems and precision calibration for autonomous platforms. His primary research areas include serial robot calibration, mobile robot navigation, and bio-inspired optimization algorithms for control design. Du’s most impactful contribution is a closed-loop calibration method for serial robots that leverages position constraints and local area measurement, achieving high-precision error compensation without expensive external tracking systems—a practical breakthrough for industrial automation. This work has garnered 11 citations since its 2024 publication, signaling growing influence in the field. Earlier, Du developed an improved artificial bee colony algorithm (lABC) to design a compensatory fuzzy logic controller for mobile robot wall-following tasks. By optimizing fuzzy rule bases with swarm intelligence, his approach enabled robust, real-time navigation using only ultrasonic sensors, demonstrating how nature-inspired algorithms can enhance reactive control. This dissertation work has accumulated 8 citations and remains a reference for researchers combining evolutionary computation with fuzzy control. Du’s research is characterized by its applied focus: solving real-world robotics challenges—from calibration accuracy to sensor-based navigation—through elegant algorithmic innovations. His work is particularly valuable for engineers seeking cost-effective, deployable solutions in manufacturing and autonomous systems.
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Top Papers
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