Giulia Robbiani

Papers

Total Citations

H-Index

About

Giulia Robbiani is a robotics researcher focused on advancing autonomous systems for critical applications, particularly in search and rescue (SAR) operations. Her work centers on developing low-power, resilient robotic architectures that can operate reliably in hazardous, post-disaster environments where human responders face significant safety risks. Her most-cited paper, "SMURF software architecture for low power mobile robots: experience in search and rescue operations" (2022, 8 citations), introduces a novel software framework designed to enable small, energy-efficient robots to navigate debris, locate trapped victims, and relay real-time data under extreme constraints. This contribution addresses a key challenge in SAR robotics: balancing computational efficiency with robust autonomy in unpredictable terrain. Robbiani’s research has practical implications for reducing human exposure to danger during earthquake response and structural collapse scenarios. Though early in her career, her work is gaining recognition for its direct impact on field robotics, with potential to transform how emergency teams deploy technology in life-saving missions. Her dedication to bridging software innovation and real-world deployment marks her as an emerging voice in humanitarian robotics.