Zixu Zhao

Institute of Computing Technology, Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Zixu Zhao is an emerging researcher specializing in intelligent agricultural robotics, with a particular focus on multi-robot systems, task allocation optimization, and artificial intelligence-driven automation in agricultural environments. Zhao's work addresses one of the pressing challenges in precision agriculture: coordinating multiple autonomous robots to operate efficiently across complex, real-world farming scenarios. Among Zhao's most recognized contributions is a 2023 study introducing an improved NSGA-II algorithm for multi-robot task allocation in agricultural settings, which reformulates the coordination problem as a multi-objective traveling salesman problem to simultaneously minimize total robot movement distance and balance workload distribution across robot clusters. This paper has garnered 10 citations, reflecting its relevance to the field. Building on this foundation, Zhao's 2024 follow-up work applies reinforcement learning techniques to further optimize task allocation strategies for agricultural multi-robot clusters, accumulating 8 citations since publication. Together, these contributions position Zhao as a productive voice in the intersection of swarm robotics, evolutionary computation, and smart farming. Although early in their research career, Zhao's growing citation record signals meaningful influence in advancing autonomous agricultural systems toward greater efficiency and scalability.