Peinan Huang
Papers
1
Total Citations
8
H-Index
1
About
Peinan Huang is a leading researcher in multi-robot systems and distributed optimization, with a primary focus on task assignment and coalition formation in complex, adversarial environments. His most-cited work, "A Distributed Auction Algorithm for Task Assignment With Robot Coalitions" (2024, 8 citations), introduces a novel, scalable approach to assigning tasks that require multiple robots to collaborate—a critical challenge in applications like multiplayer reach-avoid games. This contribution stands out for addressing the gap between classical single-robot task assignment and real-world scenarios demanding robot coalitions, offering a decentralized solution that ensures efficiency and robustness. Huang’s research has significant implications for autonomous systems, swarm robotics, and defense technologies, where coordinated multi-agent decision-making is paramount. His work is recognized for bridging theoretical auction mechanisms with practical distributed algorithms, earning him early-career citations and attention from the robotics and control communities. Through this and related studies, Peinan Huang is establishing himself as a key innovator in enabling scalable, resilient coordination for next-generation robotic teams.
Research Focus
Key Achievements
Top Papers
- 1