Igor I. Komarov

Papers

Total Citations

H-Index

About

Igor I. Komarov is a researcher focused on the stability and resilience of swarm robotic systems, particularly those operating in open and potentially destructive environments. His work critically examines the vulnerabilities of distributed multi-agent systems, assessing how trust and reputation models can maintain algorithmic stability when agents face external interference. Komarov’s key contributions include analyzing flocking algorithms—based on Reynolds’ model—to understand how a small group of informed robots can be disrupted, thereby informing the design of more robust swarm coordination. His research also extends to the practical sensing and vision capabilities of industrial and multiagent robots, exploring ambient light sensors and vision systems to improve autonomous decision-making. While his most cited paper, “Assessment of stability of algorithms based on trust and reputation model” (2016), has garnered 10 citations, Komarov’s cumulative work provides foundational insights into the security and reliability of decentralized robotic collectives. By bridging theoretical stability assessments with applied sensor technologies, he offers valuable guidance for developing resilient, real-world swarm systems that can withstand both environmental and adversarial challenges.