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About

Peter Lepej is a robotics researcher whose work bridges the critical gap between autonomous systems and real-world deployment, particularly in challenging environments like search and rescue and precision agriculture. His research focuses on fault-tolerant architectures, localization, and navigation for mobile robots. Lepej’s most significant contribution is an integrated model-based diagnosis and repair architecture for ROS-based robot systems (47 citations), which directly addresses the reliability of autonomous robots by enabling them to detect and recover from runtime faults—a cornerstone for deploying robots in dynamic, unstructured settings. He has also advanced field robotics with a simultaneous localization and mapping (SLAM) approach for complex field environments (38 citations) and developed a dynamic arc fitting path follower for skid-steered mobile robots (15 citations), improving navigation precision. Lepej’s work extends to agricultural robotics, where he proposed a sensor fusion-based localization method for the Rovitis 4.0 vineyard robot (6 citations), and to UAVs with a flexible hardware-in-the-loop architecture. He contributed to the TEDUSAR White Book on state-of-the-art search and rescue robots, and his community-driven development of standard software modules for rescue robots (10 citations) has helped accelerate prototyping in the field. With over 140 total citations, Lepej’s research continues to make autonomous systems more robust, practical, and deployable.