Papers

13

Total Citations

615

H-Index

9

About

Gerard Lacey is a robotics researcher whose career has been defined by a remarkable commitment to assistive technology, particularly the development of intelligent mobility aids for elderly and visually impaired individuals. His most celebrated contribution is the PAM-AID and its commercial successor, Guido — a "smart walker" that integrates robotics, computer vision, and artificial intelligence to help frail and blind users navigate safely and independently indoors. This work, spanning from his foundational 1996 paper through the documented evolution of Guido in 2008, has accumulated hundreds of citations and represents one of the most sustained research programs in healthcare robotics. Lacey's technical breadth is evident in his applications of Bayesian networks for context-aware shared control, SLAM-based map building, and omni-directional vision for robot navigation — the latter earning 192 citations alone. His forays into smart environments and sensor fusion further demonstrate a systems-level thinker who bridges human-centered computing with cutting-edge robotics. With a combined citation count exceeding 650 across his key works, Lacey's research has had lasting influence on how the robotics community approaches assistive and socially beneficial technology design.

Research Focus

Key Achievements

9
H-Index
13
Papers
615
Total Citations
47
Avg Citations/Paper
🏆 Most Cited Paper
Omni-directional vision for robot navigation
192 citations · 2002
📈 Most Prolific Year: 2000 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Trinity College Dublin, National University of Ireland, Maynooth

Top Papers

  1. 1
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  4. 4
    The Evolution of Guido
    48 citations · 2008
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago