Papers

4

Total Citations

39

H-Index

4

About

Alexey Lukashin is a researcher whose work sits at the intersection of robotics, intelligent transport systems, and networked cyber-physical systems. His research tackles the complex challenges of multi-robot coordination, anomaly detection, and real-time data transmission in distributed environments. Among his most notable contributions is a Siamese autoencoder architecture designed for anomaly detection in multi-robot systems, which employs shared-weight neural networks to reduce sensor data dimensionality while preserving critical distance relationships — a paper that has garnered 17 citations and represents a meaningful advance in unsupervised fault detection for autonomous systems. Lukashin has also made significant contributions to Intelligent Transport Systems, proposing mobile edge-computing service architectures that integrate vehicular, cloud, and global information resources, accumulating 12 citations. His work extends into space robotics, notably modeling retrial queueing systems for data transmission during the ISS-based "Kontur" remote robot control experiments, demonstrating real-world applicability in demanding environments. Through a cyber-physical systems lens, he has further formalized control frameworks for groups of mobile robots. Collectively, his research bridges theoretical modeling and practical deployment, making him a valuable voice in networked robotics and autonomous systems engineering.

Research Focus

Key Achievements

4
H-Index
4
Papers
39
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Siamese Autoencoder Preserving Distances for Anomaly Detection in Multi-robot Systems
17 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Peter the Great St. Petersburg Polytechnic University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago