Alan Thorne

University of Cambridge

Papers

2

Total Citations

44

H-Index

2

About

Alan Thorne’s research lies at the intersection of pervasive computing, radio-frequency identification (RFID), and human-robot interaction (HRI), with a growing focus on low-cost digital manufacturing. His most cited work, “Assessing and Optimizing the Range of UHF RFID to Enable Real-World Pervasive Computing Applications” (2007, 38 citations), provides foundational insights into extending RFID’s practical utility for ubiquitous sensing—a critical step for embedding smart systems into everyday environments. More recently, Thorne has advanced accessible automation through “An Application of HRI in Low-Cost Digital Manufacturing” (2020, 6 citations), demonstrating a flexible, affordable architecture that integrates legacy robots into digital workflows. This work bridges the gap between high-end industrial automation and small-scale production, making manufacturing more democratized. Thorne’s contributions are notable for their pragmatic, application-driven approach: he tackles real-world constraints like cost and range to push pervasive computing from theory into practice. His research continues to influence engineers and researchers seeking to build scalable, user-friendly systems for smart environments and decentralized manufacturing.

Research Focus

Key Achievements

2
H-Index
2
Papers
44
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Assessing and Optimizing the Range of UHF RFID to Enable Real-World Pervasive Computing Applications
38 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Cambridge

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago