Anhua Chen

Hunan University of Science and Technology

Papers

Total Citations

H-Index

About

Anhua Chen is a robotics researcher whose work sits at the intersection of swarm intelligence, autonomous search algorithms, and multi-agent coordination. His research focuses on developing sophisticated algorithms that enable swarm robots to efficiently locate multiple targets in complex, unknown environments — a challenge with significant implications for search-and-rescue operations, environmental monitoring, and autonomous exploration. Chen's most notable contribution, "Multi-Target Coordinated Search Algorithm for Swarm Robotics Considering Practical Constraints" (2021), has garnered 9 citations and represents a meaningful advance in addressing real-world limitations of swarm robotic systems. His earlier foundational work from 2020 introduced probabilistic response principles and multi-target division strategies that allow robot swarms to autonomously partition into subgroups for parallel search operations — an elegant solution to scalability challenges in swarm coordination. More recently, Chen expanded his research into three-dimensional terrain, tackling the particularly difficult problem of obstacle avoidance in mountainous environments — moving beyond traditional potential field methods that are computationally taxing and prone to local minima. Across his growing body of work, Chen demonstrates a consistent commitment to bridging theoretical swarm robotics with practical deployment constraints, making his research increasingly relevant to researchers and engineers designing next-generation autonomous robotic systems.