Zhenglei Huang
Papers
1
Total Citations
33
H-Index
1
About
Zhenglei Huang is a leading researcher at the intersection of the Internet of Robotic Things (IoRT), cooperative game theory, and crowdsourcing economics. His most-cited work, "Task-Driven Cooperative Internet of Robotic Things Crowdsourcing: From the Perspective of Hierarchical Game Theoretic" (2024, 33 citations), tackles a critical challenge in the digital economy: how to efficiently coordinate resource-constrained robot nodes to complete increasingly complex crowdsourcing tasks. Huang’s major contribution lies in developing a hierarchical game-theoretic framework that models the strategic interactions between task publishers and robotic agents, balancing individual incentives with collective efficiency. This work provides a rigorous mathematical foundation for designing decentralized, incentive-compatible crowdsourcing systems—a key enabler for scalable IoRT deployments in smart cities, logistics, and disaster response. By addressing the tension between task complexity and robot resource limitations, Huang’s research offers practical pathways for real-world IoRT crowdsourcing platforms. His growing citation count reflects the timeliness and impact of his work, positioning him as an emerging authority in cooperative multi-robot systems and game-theoretic resource allocation.
Research Focus
Key Achievements
Top Papers
- 1