Sergey Chuprov

Rochester Institute of Technology, ITMO University

Papers

Total Citations

H-Index

About

Sergey Chuprov is a researcher at the forefront of autonomous systems and cyber-physical intelligence, whose work bridges the critical gap between robust robotic navigation and secure multi-agent cooperation. His most impactful contribution, the 2023 paper on "Robust Autonomous Vehicle Computer-Vision-Based Localization in Challenging Environmental Conditions" (13 citations), introduces a novel localization design that maintains vehicle positioning accuracy when GPS signals degrade and visual conditions are poor—a fundamental challenge for real-world autonomous driving. This work directly addresses the fragility of current autonomous navigation systems. Beyond vehicle localization, Chuprov has shaped the theoretical foundations of industrial automation with his "Informational Space and Messages Interaction Models for Smart Factory Concept" (3 citations), which models robot communication within cyber-physical production systems. His research also extends to information security in robotics, proposing a "Police office model for multi-agent robotic systems" (3 citations) to protect data integrity in mobile robot teams. Demonstrating versatility, he has applied particle swarm optimization to terrain classification using UAV downwash (3 citations), enabling autonomous aerial-ground robot cooperation. Chuprov’s work is distinguished by its practical focus on making autonomous systems both resilient and secure, earning him recognition as a key contributor to next-generation robotic and vehicular intelligence.