Can Zhong He

Southern University of Science and Technology

Papers

Total Citations

H-Index

About

Can Zhong He is a researcher at the forefront of intelligent robotics and autonomous systems, with a particular focus on solving real-world logistical challenges. His work centers on the integration of computer vision, sensor fusion, and localization algorithms to enable robots to operate effectively in dynamic, human-centric environments. He is best known for his pioneering systematic evaluation of indoor localization methods for robotic autonomous luggage trolley collection at airports, a study that has garnered 5 citations since its publication in 2024. This work is notable for its practical approach to a pressing industry problem, comparing techniques such as LiDAR, visual odometry, and UWB to identify robust solutions for cluttered, GPS-denied spaces. Beyond this flagship paper, He’s research portfolio demonstrates a commitment to bridging the gap between theoretical robotics and deployable automation. His contributions are particularly valuable for students and engineers seeking to understand how autonomous systems can be reliably integrated into complex infrastructure, making him a key voice in the advancement of service robotics for transportation hubs.