Max Robotics — Global Service Robot Directory + US Certification

About

Hehong Zhang is a rising researcher in the field of multi-robot systems and coverage control, with a focus on optimizing the deployment of robotic sensor networks in complex, nonconvex environments. His work addresses critical challenges in distributed coordination, disturbance rejection, and safe operation for both ground and aerial robots. In his most cited paper, "Coverage Optimization of Robotic Sensor Networks in Nonconvex Environments via Rotary Pointer Partitions" (2023, 7 citations), Zhang introduced a novel algorithm that efficiently handles random events by minimizing service costs despite environmental nonconvexity. He further advanced the field with "Distributed Active Disturbance Rejection Control of Multiple Mobile Robots for Online Workload Partition" (2023, 5 citations), where he proposed a cooperative control method using ADRC to enhance robustness against disturbances and noise in multi-agent coverage tasks. Most recently, in "Safe Coverage Control of the Vision-Based UAV System With a Performance-Boosting Strategy" (2025, 1 citation), Zhang tackled the challenge of non-convex visual coverage optimization for UAV teams, integrating safety constraints with performance enhancement. His contributions are pivotal for real-world applications in surveillance, environmental monitoring, and disaster response, demonstrating a strong trajectory of impactful, practical solutions.