Stewart Worrall
The University of Sydney, Australian Centre for Robotic Vision
Papers
5
Total Citations
41
H-Index
4
About
Stewart Worrall is a researcher whose work sits at the intersection of autonomous systems, human-robot interaction, and urban mobility. His research addresses some of the most pressing challenges facing the deployment of autonomous vehicles (AVs) and robots in real-world environments, spanning social navigation, sensor fusion, and safety-critical control. Worrall's most recognized contribution explores how AVs can communicate more naturally with pedestrians in shared spaces, using expressive robotic eyes to enhance perceived sociability — a paper that has already garnered 16 citations since 2023, reflecting strong early interest from the robotics and HCI communities. His 2019 work on provably not-at-fault robot control (11 citations) tackles a foundational safety challenge: ensuring autonomous systems remain blameless even when encountering unpredictable or adversarial actors. Complementing this, his probabilistic LiDAR-camera fusion research (8 citations) advances the perceptual robustness needed for reliable AV navigation on moving platforms. Beyond technical contributions, Worrall engages with human-centred design, developing toolkits to collaboratively shape AV-pedestrian interfaces and studying how robots can adapt contextually within dynamic urban environments. His portfolio reflects a researcher committed to making autonomous systems not just functional, but genuinely safe, trustworthy, and socially intelligent.
Research Focus
Key Achievements
Top Papers
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