Andrea Piazzoni
Papers
1
Total Citations
6
H-Index
1
About
Andrea Piazzoni is a researcher focused on the intersection of robotics, autonomous systems, and robust decision-making under uncertainty. Their key research areas include sensing and perception error modeling, safe navigation for autonomous vehicles (AVs), and resilient control in dynamic environments. Piazzoni’s major contribution lies in developing frameworks that explicitly account for sensing and perception inaccuracies—such as occlusions, sensor noise, and detection failures—to enable safer, more reliable autonomous driving. Their most-cited work, “Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles” (2020), has garnered 6 citations and addresses a critical gap: how AVs can react to unexpected situations when perception is imperfect. By formalizing these error models, Piazzoni helps bridge the gap between theoretical control and real-world deployment, where roads are highly unpredictable. This work is particularly notable for its practical implications in improving AV safety systems and has been recognized within the robotics community for its foundational approach. Piazzoni’s ongoing research continues to advance the reliability of autonomous systems, making them more trustworthy for public road use.
Research Focus
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Top Papers
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