Bob Iannucci

Google (United States), Carnegie Mellon University

Papers

Total Citations

H-Index

About

Bob Iannucci is a researcher whose work sits at the intersection of cyber-physical systems, real-time computing, and autonomous robotics. His research tackles some of the most challenging problems in modern embedded and distributed systems, particularly the critical question of how software and networked platforms can reliably meet the stringent timing demands that safety-critical applications require. His 2022 paper, "Plan B: Design Methodology for Cyber-Physical Systems Robust to Timing Failures," addresses the complex challenge of verifying that distributed cyber-physical systems satisfy their timing constraints — a notoriously difficult problem when software and hardware platforms interact unpredictably. This work offers a structured methodology to build robustness directly into CPS design, an increasingly vital contribution as smart infrastructure and autonomous systems proliferate. Complementing this, his 2019 work on autonomous curiosity for real-time onboard robotic learning explores how robotic agents can intelligently seek out informative training data with minimal human supervision — a key challenge in deploying adaptive robots in dynamic environments. While his citation counts are currently modest, Iannucci's research addresses foundational problems at the frontier of safe autonomy and intelligent systems, making his work highly relevant for students and engineers building the next generation of reliable, self-learning machines.