Alexander Kleschev

Institute of Automation and Control Processes

Papers

Total Citations

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About

Alexander Kleschev is a leading researcher in autonomous underwater robotics, with a primary focus on fault diagnostics and the operational safety of autonomous underwater vehicles (AUVs). His most-cited work, "Application of artificial intelligence techniques for fault diagnostics of autonomous underwater vehicles" (2016, 31 citations), introduces advanced AI-driven methods to enhance the reliability of AUV monitoring and emergency systems (MESs). Kleschev’s key contribution lies in leveraging artificial intelligence to interpret self-test signals from robot subsystems, enabling real-time fault detection and improving mission success rates in challenging underwater environments. His research directly addresses the critical challenge of ensuring AUV fault tolerance and safety during prolonged autonomous operations. By integrating AI with traditional diagnostic frameworks, Kleschev has advanced the field of marine robotics, offering practical solutions for increasing the resilience of unmanned underwater systems. His work is widely cited by engineers and researchers developing robust autonomous platforms for ocean exploration, defense, and environmental monitoring, cementing his reputation as a pivotal figure in intelligent fault management for underwater vehicles.