TAN EIJYNE
Papers
1
Total Citations
9
H-Index
1
About
Tan Eijyne is a researcher in multirobot systems, specializing in task allocation and coordination for heterogeneous robotic teams. Her most notable contribution is the development of a task-oriented, auction-based framework that enables efficient, decentralized task allocation among robots with varying capabilities. This work, published in 2020 and garnering nine citations, addresses a critical challenge in swarm robotics: how to dynamically assign tasks in real-time without centralized control. By leveraging auction mechanisms, her framework optimizes resource distribution and minimizes communication overhead, making it highly applicable to search-and-rescue missions, warehouse automation, and environmental monitoring. Tan’s research bridges theoretical auction theory with practical robotic applications, offering scalable solutions for complex multirobot environments. Her work has been recognized for its clarity and utility, providing a foundation for subsequent studies in adaptive task allocation. As a rising scholar, Tan Eijyne continues to explore how intelligent coordination can enhance the autonomy and efficiency of multirobot systems, with potential impacts on both industrial and field robotics.
Research Focus
Key Achievements
Top Papers
- 1