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About

Raymond Francis is a leading figure in autonomous planetary robotics, whose work is fundamentally reshaping how we explore other worlds. His primary research focuses on developing self-driving navigation systems and intelligent robotic autonomy for extraterrestrial terrain. Francis’s most impactful contribution is his leadership on the AutoNav system for NASA’s Perseverance rover, a breakthrough in autonomous driving that has enabled the rover to independently evaluate and traverse 88% of its 17.7-kilometer journey on Mars. This work, detailed in his highly cited 2023 paper (106 citations), has dramatically accelerated the pace of Mars exploration. Beyond planetary rovers, Francis has pioneered machine learning for geological analysis, including unsupervised feature learning for autonomous rock classification (53 citations). He has also been instrumental in designing mission control architectures for sample return, as demonstrated through high-fidelity analogue missions like CanMars (33 citations) and field tests at Sudbury and Mistastin Lake impact structures. By creating reusable path networks and enhancing situational awareness for robotic geologists, Francis is building the technological foundation for future human-robot exploration teams on the Moon and Mars.