Marc Denojean-Mairet

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About

Marc Denojean-Mairet is a leading researcher at the intersection of telepresence robotics and ubiquitous computing for distance education. His work addresses one of the most persistent challenges in online learning: how to provide remote students with meaningful, hands-on lab and field experiences. His most influential contribution is the Telepresence Robot Empowered Smart Lab (TRESL) system, introduced in his 2019 paper (32 citations), which proposes a novel framework combining mobile telepresence robots with smart lab infrastructure to allow remote students to navigate physical spaces and manipulate equipment as if they were on-site. Earlier, his foundational 2014 paper (9 citations) laid the groundwork by designing an affordable, open-source telepresence robot platform, demonstrating that ubiquitous computing could make remote lab work accessible to a wider range of institutions. Denojean-Mairet’s work is notable for its practical, cost-conscious approach—focusing on scalable, deployable solutions rather than theoretical concepts. By bridging the gap between physical presence and digital access, he has helped define a new paradigm for experiential learning in online universities, directly impacting how educators and technologists think about remote STEM education.