DC1
DC1 - Situation Awareness and Complex Scene Understanding
Short Bio
I am a Mechatronics and Robotics engineer with a strong interest in robot perception, situation awareness, and complex scene understanding. I completed the Erasmus Mundus Joint Master’s in Mechatronics and Robotics (EU4M) and conducted my master’s thesis at the Institut de Robòtica i Informàtica Industrial (IRI) in Barcelona on real-time robotic perception and control. Currently a PhD student in the SWEET Project. Driven by an early passion for programming and shaped by an international academic background, I aim to contribute to the development of safe, intelligent robotic systems with meaningful real-world impact.
Topic
This research stands pivotal in bridging technology and domestic safety, crafting a system capable of proactive risk management, thereby reducing domestic incidents and enhancing the quality of life for occupants. Especially relevant for those considered more vulnerable (such as the elderly and children), this research not only contributes to individual household safety but also brings about advancements in assistive robotics, broadening application horizons. This research posits the integration of robust robotic systems, leveraging advanced technologies like Metric-Semantic SLAM and Direct Situational Comprehension (DSC), as a pivotal strategy to not only identify but also proactively manage potential domestic risks.
Host Institution:Università degli Studi di Napoli Federico II – Napoli, Italy
PhD Enrollment: Università degli Studi di Napoli Federico II
PI: Prof. Daniel Riccio
