David Folio
Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique, Centre National de la Recherche Scientifique, Université d'Orléans, Université Toulouse III - Paul Sabatier, École Nationale Supérieure d'Art, Institut National des Sciences Appliquées Centre Val de Loire, Centre Val de Loire, École Normale Supérieure - PSL, Laboratoire d'Analyse et d'Architecture des Systèmes
Papers
17
Total Citations
180
H-Index
8
About
David Folio is a robotics researcher whose work spans medical robotics, vision-based navigation, and microrobotics — fields where his contributions have meaningfully advanced both theoretical frameworks and practical applications. His early foundational work focused on sensor-based control for mobile robots, developing sophisticated controllers capable of simultaneously avoiding obstacles and maintaining visual feature visibility in cluttered environments, with redundancy-based schemes that addressed real-world challenges like total image loss during navigation tasks (2006–2012). Folio's research then expanded into medical robotics, most notably with his robotized tele-echography system (2014, 37 citations), which introduced an autonomous assisting visibility mode enabling remote expert ultrasound diagnostics — a significant contribution to accessible healthcare technology. More recently, he has pioneered deep learning approaches for microrobot detection and tracking in ultrasound imaging, producing benchmark datasets such as USMicroMagSet and advancing real-time tracking methodologies (2022–2023, 18 citations each). His work on magnetically steerable Janus micromotors further demonstrates his commitment to enabling precise control of micro-scale robots for targeted drug delivery and minimally invasive surgery. With research spanning nearly two decades and citations accumulating across diverse domains, Folio represents a versatile contributor whose interdisciplinary vision bridges robotics, medical imaging, and autonomous control systems.
Research Focus
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