Sophie holds a PhD in agricultural robotics from the University of Bordeaux and has spent 15 years bridging academic research and industrial applications. She coordinates the GORT consortium and ensures all partners stay aligned toward the project's goals.
LinkedIn+33(0) 587 50 67 00
s.marchais@gort-project.eu
Based at the ENSIL research laboratory, Lucas specializes in autonomous navigation systems for unstructured outdoor environments. He leads the technical research agenda and oversees field testing protocols.
LinkedIn+33(0) 587 50 67 00
l.fontaine@gort-project.eu
Isabelle comes from an agronomy background and transitioned into data science through a decade of work in smart farming startups. She is responsible for the project's real-time data infrastructure and field sensor integration.
LinkedIn+33(0) 587 50 67 00
i.renard@gort-project.eu
Oscar specializes in building software ecosystems that connect heterogeneous systems. At GORT, he is responsible for the orchestration layer that allows robots and sensors from different origins to communicate and operate as one.
LinkedIn+33(0) 587 50 67 00
o.voisin@gort-project.eu
Antoine is a professor of computer vision at a leading French engineering school and brings deep expertise in machine learning applied to plant detection. He supervises the academic output of the project, including publications and peer review.
LinkedIn+33(0) 587 50 67 00
a.bergeron@gort-project.eu
Émile represents the consortium's independent evaluation partner. With a background in innovation assessment and technology transfer, he monitors project milestones, evaluates outcomes, and ensures GORT meets its commitments to the ANR.
LinkedIn+33(0) 587 50 67 00
e.joubert@gort-project.eu
With over 12 years of experience in industrial robotics, Marc leads the development and deployment of the mechanical systems used in GORT's field demonstrations. He represents one of the project's two integrator partners.
LinkedIn+33(0) 587 50 67 00
m.delorme@gort-project.eu
Vision-based detection, differentiation and tracking of plants/weeds.
Detection, tool block, action on weeds.
Self-guided weed detection and selective weed control.
Self-propelled electric-powered machines. Vision-based solution.
Technical, environmental, societal, and economic evaluation.
