Baojian Yang

Papers

Total Citations

H-Index

About

Baojian Yang is a researcher specializing in swarm robotics, multi-robot coordination, and optimization algorithms. His most notable contribution is the development of dynamic approaches to enhance Ant Colony Optimization (ACO) for multi-robot source seeking coordination, as detailed in his highly cited 2019 paper (6 citations). This work introduces strategies to improve equilibrium and optimize power usage in swarm robotic systems, integrating hardware platform design, control optimization, and measurement analysis. Yang’s research addresses critical challenges in autonomous robot collaboration, advancing both theoretical frameworks and practical implementations. Additionally, his 2021 study on 3D solid robot animation design using ADAMS (3 citations) demonstrates versatility in applying simulation tools to robotics. Through these contributions, Yang has laid groundwork for more efficient and stable multi-robot systems, with potential applications in search-and-rescue, environmental monitoring, and industrial automation. His work continues to influence researchers exploring bio-inspired algorithms and swarm intelligence.