Xin Wen Duan

Papers

Total Citations

H-Index

About

Xin Wen Duan is a researcher in swarm robotics, focusing on decentralized coordination and collective shape formation. Their work addresses fundamental challenges in enabling large groups of simple robots to autonomously assemble into predefined structures without centralized control. Duan’s most-cited paper, "A parallel shape formation method for swarm robotics" (2022, 16 citations), introduces a scalable algorithm that allows robots to simultaneously construct complex shapes, significantly improving efficiency over sequential approaches. Their earlier study, "A distributed self-assembly approach for hollow shape in swarm robotics" (2020, 6 citations), tackles the specific problem of forming hollow geometries—critical for applications like temporary shelters or sensor networks. By emphasizing distributed decision-making and local interactions, Duan’s contributions advance the practicality of swarm robotics in real-world scenarios, such as environmental monitoring and construction. Their work is notable for bridging theoretical models with implementable strategies, offering insights into how minimal rules can yield sophisticated collective behaviors. For students and researchers, Duan’s research exemplifies the power of parallelism and self-organization in robotic systems.