Razane Azrou completed her Engineering degree from Sorbonne University in France. Her expertise lies in AI technology and solutions, with a specialization in Situation Awareness for robots. Razane has contributed to various projects, including:
Roborongeur: A project initiated during her first year of college, Roborongeur aimed to develop a robotic adaptation of a workstation to aid individuals with disabilities. Partnering with Sorbonne University's Disability Mission, they developed a robotic adaptation of a workstation. This initiative was inspired by a lab technician's chronic illness, exacerbated by repetitive tasks. The project led to the creation of a rotating and automated platform designed to reduce physical strain. Later, Polytech Sorbonne students enhanced the platform, developing a second version with advanced automated features and a digital interface for better data collection.
Soil Tracker for Sony CSL: As part of her second-year Industrial project, Razane, alongside her peers, worked on automating a soil weeding robot developed by collaborators. Her primary mission was to enhance the robot's functionality by automating its actions to follow the profile of the soil. Razane's contributions included investigating weight variables for automation and implementing changes in engines for improved performance.
Razane is currently part of the CONVINCE team that is leading the research on Situation Awareness and Learning in autonomous robots. Their main goal is to develop a tool for better situation understanding and enhance robots with cognitive capabilities to detect and interpret discrepancies between predictions and observations. This tool will be able to accurately identify the relevant information of the surrounding environment and feed it to the situation understanding module when an anomaly occurs. This relevant information will then be presented as a knowledge base for future reasoning.
