Stefan Poslad

Queen Mary University of London

Papers

10

Total Citations

556

H-Index

7

About

Stefan Poslad is a leading researcher in ubiquitous computing, robotics, and intelligent sensing systems. His foundational work, *Ubiquitous Computing: Smart Devices, Environments and Interactions* (2009), with over 400 citations, established a core architectural model (Smart DEI) for designing context-aware, interactive systems. More recently, he has pioneered robotic solutions for hazardous environments, notably developing a suite of robots for nuclear waste decommissioning (2021, 53 citations), enabling safer remote handling and manipulation of radioactive materials. Poslad’s contributions extend to multi-modal sensing for structural inspection, including tactile-proximity crack detection and visual-tactile localisation (2020–2021), and to advancing camera pose estimation for augmented reality and autonomous navigation—his critical analysis (2023, 44 citations) benchmarks key techniques in the field. He has also innovated in device-free activity recognition using low-cost Lidar (2018) and real-time AR localization (ARLO, 2025). With a career spanning foundational textbooks to cutting-edge robotics and computer vision, Poslad’s work directly impacts safety-critical applications, from nuclear waste management to human-computer interaction.

Research Focus

Key Achievements

7
H-Index
10
Papers
556
Total Citations
56
Avg Citations/Paper
🏆 Most Cited Paper
Ubiquitous Computing: Smart Devices, Environments and Interactions
401 citations · 2009
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: Queen Mary University of London

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago