Hongqiang Zhang

Hunan University, Hunan University of Science and Technology

Papers

Total Citations

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About

Hongqiang Zhang is a researcher whose work lies at the intersection of swarm robotics, autonomous navigation, and adaptive localization in complex, unknown environments. His major contributions focus on enabling multi-robot systems to operate effectively in cluttered and dynamic settings—from hunting tasks with deforming obstacles to parallel multitarget search missions. Zhang’s 2015 paper on hunting in unknown environments, which has garnered 5 citations, introduced a self-organizing virtual-force model for nonholonomic swarm robots, laying foundational principles for decentralized coordination. His 2020 work on multitarget search, with 2 citations, advanced task division strategies that allow robot swarms to autonomously split into sub-swarms for efficient parallel exploration. Most recently, his 2025 paper on an improved adaptive Monte Carlo localization algorithm (3 citations) tackles the critical challenge of odometry dependency by integrating a virtual motion model with NDT and EKF, significantly enhancing robot positioning accuracy in GPS-denied spaces. Together, Zhang’s research pushes the boundaries of autonomous swarm intelligence, offering scalable solutions for real-world applications such as search-and-rescue, environmental monitoring, and autonomous exploration.