Max Robotics — Global Service Robot Directory + US Certification

About

Maria Cornejo-Lupa is a leading researcher at the intersection of robotics and knowledge representation, whose work is pioneering the use of formal ontologies to solve the Simultaneous Localization and Mapping (SLAM) problem. Her key research areas include autonomous robotics, knowledge engineering, and ontology evaluation. Cornejo-Lupa’s major contribution is the development of **OntoSLAM**, a novel ontology designed to model the complex knowledge involved in robot localization and environmental mapping, thereby enabling more flexible, intelligent, and interoperable robotic solutions. Her foundational survey on SLAM ontologies has garnered 15 citations, establishing the landscape for this niche but critical field. Beyond creation, she has advanced the methodology of ontology engineering itself, applying the OQuaRE quality model to develop a rigorous, reproducible approach for comparing ontologies—a vital step for ensuring interoperability across robotic systems. With a growing body of work that bridges abstract knowledge models with practical robotic autonomy, Cornejo-Lupa is shaping how future robots will understand and navigate their world.