Liu Gang

Southwest University of Science and Technology, Hefei University of Technology

Papers

Total Citations

H-Index

About

Liu Gang’s research centers on multi-robot cooperation, artificial intelligence, and path planning, with a focus on solving fundamental challenges in autonomous robotic systems. His major contributions include developing a pyramid-like hybrid control architecture that integrates centralized and distributed control for effective task allocation in multi-robot systems, addressing a key bottleneck in cooperative robotics. Additionally, he advanced robot path planning by applying predictive control principles, using the expected direction angle in polar coordinates as an optimization target within a rolling planning framework. This approach combines global and local planning strategies, improving navigation efficiency and adaptability. While his most-cited works—including "On multi-robot cooperation based on MAS and sensor information" and "Robot rolling path planning with the optimization target of expected direction angle"—each have 2 citations, they represent foundational ideas in cooperative robotics and intelligent path optimization. Liu’s work contributes to the broader field of multi-agent systems and sensor-based control, offering practical frameworks for real-world robotic coordination and navigation.