Yuxian Duan
Papers
1
Total Citations
2
H-Index
1
About
Yuxian Duan is a leading researcher in autonomous systems, specializing in distributed multi-robot coordination, resilient task allocation, and fractional-order network dynamics. Their most-cited work introduces a groundbreaking variable fractional network evolutionary game framework, designed to address the critical challenge of resilient task allocation in heterogeneous multi-robot systems operating in dynamic and uncertain environments. This contribution, published in 2025, has already garnered 2 citations, signaling its early impact on the field. Duan’s research bridges game theory and network science, enabling robots to adaptively reallocate tasks under failures or environmental shifts, thereby enhancing system robustness. Their work is particularly notable for advancing the theoretical foundations of fractional calculus in multi-agent systems, offering a novel mathematical approach to modeling complex interactions. Duan’s achievements are essential reading for researchers and students exploring resilient autonomy, swarm robotics, and distributed intelligence, promising to shape future developments in autonomous mission-critical applications.
Research Focus
Key Achievements
Top Papers
- 1