Rob Dupre

Kingston University

Papers

2

Total Citations

5

H-Index

2

About

Rob Dupre’s research sits at the intersection of robotics, artificial intelligence, and human safety, with a particular focus on risk analysis for smart homes and domestic robots. His work addresses the critical challenge of ensuring safe human-robot interactions in everyday environments, where unpredictable human behavior and complex physical spaces create unique hazards. Dupre’s most cited paper, “Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques” (2016), introduces novel methodologies that combine geometric and physical scene understanding with advanced machine learning to estimate risk in real time. In his 2017 chapter on “Risk Estimation in Robotics and the Impact of Human Behaviour,” he expands this framework to explicitly model how human actions influence danger levels, bridging a gap between technical risk assessment and behavioral science. Though his citation counts are modest—3 and 2 respectively—his work is pioneering in its early recognition of domestic robotics as a distinct safety domain. Dupre’s contributions are particularly notable for their practical orientation: rather than theoretical risk models, he develops deployable techniques that could one day enable safer robot vacuum cleaners, assistive devices, and smart home systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques
3 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Kingston University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago