Papers

3

Total Citations

31

H-Index

3

About

Nikita Shlyakhov is a researcher in swarm and modular robotics, focusing on the collective behaviors and hardware constraints that enable autonomous robot groups to self-organize. His most influential work, the 2017 "Survey of Methods and Algorithms of Robot Swarm Aggregation" (23 citations), systematically analyzes three bio-inspired approaches—drawing from ant, bee, and fish schooling behaviors—for achieving swarm aggregation. Critically, Shlyakhov bridges theory and engineering by substantiating the sensor, computational, networking, and propulsion requirements needed to implement these algorithms on real hardware. In parallel, his work on modular robotics (2017) addresses the fundamental challenge of limited onboard resources in reconfigurable systems, proposing technological foundations for designing modules with pairwise connection capabilities. By connecting biological swarm principles to concrete technical specifications, Shlyakhov provides a roadmap for moving swarm aggregation from simulation to physical deployment—a crucial step for applications in search-and-rescue, environmental monitoring, and distributed sensing. His research sits at the intersection of multi-agent systems, bio-inspired algorithms, and robotic hardware design, offering practical guidance for engineers building the next generation of resilient, decentralized robot swarms.

Research Focus

Key Achievements

3
H-Index
3
Papers
31
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Survey of Methods and Algorithms of Robot Swarm Aggregation
23 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: St. Petersburg Institute for Informatics and Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago