Guo Ji

Papers

Total Citations

137

H-Index

About

Guo Ji is a leading researcher in multi-robot systems, specializing in task allocation, coordination, and safety-guaranteed autonomy. His work bridges game theory and robotics, offering scalable solutions for complex multi-agent environments. In his highly cited 2013 paper (69 citations), Ji introduced a game theory-based negotiation framework for multi-robot task allocation, advancing beyond traditional contract net protocols by dynamically selecting negotiation partners and constructing optimal negotiation sets. This approach significantly improves efficiency in distributed robotic teams. His 2011 study (68 citations) tackled the critical challenge of Pareto-optimal coordination with formal safety guarantees, ensuring that multiple robots achieve collective goals without collisions or deadlock. These contributions have shaped modern multi-robot systems, influencing applications in warehouse automation, search-and-rescue, and autonomous exploration. Ji’s work is distinguished by its rigorous mathematical foundation and practical relevance, earning him recognition as a key figure in robotics coordination. His research continues to inspire new methods for decentralized decision-making, making him a vital reference for students and engineers advancing autonomous multi-agent technologies.