Yvan Tortorella
Papers
2
Total Citations
16
H-Index
2
About
Yvan Tortorella is a leading researcher at the forefront of ultra-low-power (ULP) embedded systems, with a specific focus on enabling autonomous navigation for nano-sized unmanned aerial vehicles (nano-UAVs). His primary research areas encompass heterogeneous RISC-V system-on-chip (SoC) design, secure hardware architectures, and energy-efficient parallel computing for robotic platforms. Tortorella’s most significant contribution is his pioneering work on a heterogeneous RISC-V-based SoC tailored for secure nano-UAV navigation, detailed in his highly cited 2024 paper (13 citations). This work addresses the critical challenge of integrating robust security and advanced processing capabilities within the stringent power and size constraints of sub-10cm drones, which represent the next generation of unobtrusive robotic helpers and ubiquitous smart sensors. By leveraging energy-efficient parallel ultra-low-power microcontrollers, Tortorella’s research directly enables the development of autonomous, secure, and highly capable nano-UAVs. His achievements are notable for bridging the gap between hardware security and practical, real-world robotic applications, establishing a foundational architecture for future compact, intelligent, and trustworthy autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation13 citations · 2024
- 2A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation3 citations · 2024