Max Robotics — Global Service Robot Directory + US Certification

About

Zhihuan Chen is a robotics researcher whose work centers on autonomous robot navigation, path planning, and heterogeneous multi-robot systems. His most significant contributions lie in developing sophisticated algorithms that enable robots to navigate complex environments efficiently, with particular emphasis on air-ground collaborative systems and real-world deployment scenarios. Chen's pioneering work on marsupial robot systems—where an unmanned ground vehicle acts as a carrier, deploying and retrieving aerial drones—has helped establish foundational frameworks for coordinated multi-robot operations. His most-cited paper, "Patrol Robot Path Planning in Nuclear Power Plant" (2021, 80 citations), demonstrates his ability to apply advanced optimization techniques, specifically interval multi-objective particle swarm optimization, to safety-critical environments. His research on heterogeneous delivery robot systems (45 citations) further highlights his practical focus on urban logistics and real-world road network constraints. Beyond multi-robot coordination, Chen has contributed meaningfully to core algorithmic challenges, including improvements to the classical A* algorithm for smoother, more efficient mobile robot navigation, and dynamic-environment SLAM for accurate robot localization amid moving objects. His work on multi-objective optimization frameworks, including artificial bee colony algorithms for delivery scheduling, reflects a commitment to balancing competing real-world priorities. With over 200 cumulative citations, Chen's research represents a valuable body of work for students exploring autonomous robotics and intelligent navigation systems.