Yury Nikulin
Papers
1
Total Citations
1
H-Index
1
About
Yury Nikulin is a rising researcher in robotics and optimization, whose work focuses on the critical challenge of coordinating multi-robot systems for persistent environmental monitoring. His most-cited paper, "Efficient Multi-Robot Task Allocation with Nonsmooth Objective Functions for Persistent Monitoring in Large Dispersed Areas" (2024), tackles the complex problem of assigning tasks to robots over vast, dispersed terrains. Nikulin’s key contribution lies in reformulating this binary optimization problem—which typically involves difficult, nonsmooth objective functions—into a more tractable quadratic form. This innovative approach enables efficient allocation strategies that ensure robots can continuously monitor large areas without gaps, a vital capability for applications like disaster response, wildlife tracking, or agricultural surveillance. While his work is still early in its citation impact, with 1 citation to date, it represents a promising step toward scalable, real-world multi-robot coordination. Nikulin’s research sits at the intersection of optimization theory and practical robotics, offering elegant mathematical solutions to pressing operational challenges. For students and researchers, his work demonstrates how advanced optimization techniques can directly enhance the autonomy and effectiveness of robotic teams in complex, dynamic environments.
Research Focus
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Top Papers
- 1