Papers
2
Total Citations
4
H-Index
2
About
Mao Wang is a researcher specializing in swarm robotics and multi-target search strategies, with a particular focus on navigation and obstacle avoidance in complex, dynamic environments. Their work addresses critical challenges in deploying robot swarms for real-world applications, such as search and rescue in unknown terrains. Wang’s major contributions include the development of novel algorithms that enable efficient multi-target searching in both 2D and 3D spaces, overcoming limitations of traditional potential field methods that often become trapped in local minima. Notably, their 2023 paper on a "Swarm Robot Multitarget Search Strategy Based on Triangular Cones" proposes a robust solution for nonconvex obstacle environments, while their work on "Multitarget Search Algorithm Using Swarm Robots in an Unknown 3D Mountain Environment" introduces a pioneering approach for three-dimensional terrain. Though early in their career, with each of these key papers garnering 2 citations, Wang’s research lays a strong foundation for advancing autonomous swarm coordination, promising significant impact in robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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