Linghao Du

Kunming University of Science and Technology, University of Toronto

Papers

Total Citations

H-Index

About

Linghao Du is a robotics researcher whose work focuses on multi-robot coordination and 3D scanning automation. His key research areas include multi-mobile robot path planning, swarm intelligence optimization, and robotic 3D measurement systems. Du's most impactful contribution is the development of LF-ACO (Leader-Follower Ant Colony Optimization), an innovative algorithm for formation path planning in multi-robot systems. This work, published in 2021, has garnered 41 citations and addresses critical challenges in obstacle avoidance and inter-robot collaboration—problems that extend beyond single-robot path planning. In parallel, Du has advanced automated calibration techniques for eye-in-hand robot-3D scanner systems, achieving low stitching errors in large-object 3D measurement. His 2020 paper on this topic, with 11 citations, demonstrates practical solutions for aligning multiple fields of view in industrial inspection. Du's research bridges theoretical optimization with real-world robotic applications, offering efficient, scalable approaches for complex multi-agent coordination and precision manufacturing. His work continues to influence both academic research and industrial automation, particularly in swarm robotics and 3D metrology.