Liwang Zhang
Papers
2
Total Citations
5
H-Index
2
About
Liwang Zhang is a rising researcher in multi-robot systems, with a focus on task allocation and coalition formation in heterogeneous robotic teams. Their work addresses critical challenges in emergency response and resource-constrained environments, where multiple robots must coordinate efficiently. Zhang’s key contributions include developing a preference-driven hedonic game approach for multi-robot task allocation (MRTA), which accounts for the often-overlooked multiple preferences between robots and tasks—a significant advance for real-world applications like disaster rescue. They have also introduced a coalition formation game framework that enables unmanned aerial vehicles (UAVs) with limited resources to combine capabilities and complete complex tasks while minimizing costs. Despite being early in their career, Zhang’s 2024 papers have already garnered citations, signaling growing recognition in the robotics community. Their work bridges game theory and practical robotics, offering scalable, decentralized solutions for heterogeneous multi-robot systems. Zhang’s research is particularly valuable for students and engineers interested in autonomous coordination, resource management, and the application of game-theoretic models to real-world multi-agent problems.
Research Focus
Key Achievements
Top Papers
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- 2