Thomas Genevois
Papers
2
Total Citations
4
H-Index
2
About
Thomas Genevois is an emerging researcher in the field of autonomous robotics and human-robot interaction, with a particular focus on collision avoidance and navigation in complex, real-world environments. His work addresses one of the most pressing challenges in modern robotics: enabling autonomous vehicles and robots to safely and intelligently navigate spaces shared with humans. Genevois's most notable contributions center on predictive collision detection frameworks that bridge the gap between theoretical navigation planning and practical deployment constraints. His 2023 paper on interaction-aware predictive collision detection tackles the critical challenge of human-aware navigation, advancing proactive planning methods that remain computationally viable under real-world conditions. Complementing this, his work on probabilistic occupancy grids offers a versatile approach to collision avoidance that simultaneously accounts for dynamic, unstructured, and uncertain environments — a combination rarely addressed holistically in existing literature. Though early in his research career, with his key publications accumulating citations that signal growing community interest, Genevois is positioning himself as a thoughtful contributor to the robotics navigation field. Students and researchers working on autonomous systems, human-robot coexistence, or probabilistic robotics will find his integrated perception-and-navigation perspective particularly valuable as robots continue expanding into everyday human spaces.
Research Focus
Key Achievements
Top Papers
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- 2