Bob Duncan
Papers
1
Total Citations
5
H-Index
1
About
Bob Duncan’s research sits at the critical intersection of cybersecurity, privacy, and the ethics of autonomous systems, with a particular focus on social humanoid robots. His most-cited work, “Privacy and security challenges for autonomous agents: A study of two social humanoid service robots” (2022), draws on direct, hands-on experience to expose the vulnerabilities inherent in deploying these agents into sensitive, human-centered environments. Rather than offering purely theoretical warnings, Duncan’s contributions are grounded in real-world case studies, revealing how the very successes of modern machine learning can create new attack surfaces and privacy risks. With 5 citations, this paper has already begun shaping conversations around responsible robotics. His broader portfolio addresses the urgent need for robust security frameworks as autonomous agents move from labs into homes, hospitals, and public spaces. For students and researchers, Duncan’s work is a vital reminder that innovation must be matched by vigilance—his findings serve as both a cautionary tale and a practical guide for building safer, more trustworthy autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1