Owen Gillett

University of Toronto

Papers

1

Total Citations

6

H-Index

1

About

Owen Gillett’s research lies at the intersection of human-robot interaction (HRI) and multi-robot systems, with a focused application in urban search and rescue (USAR). His most cited work, “A graphical user interface for multi-robot control in urban search and rescue applications” (2016), introduces an intuitive interface that enables a single operator to configure, monitor, and control heterogeneous teams of robots in high-stakes disaster environments. This contribution directly addresses the critical challenge of cognitive overload in HRI, allowing for efficient team formation and individual robot oversight. While his citation count (6) reflects the specialized nature of this early-career work, the paper has been recognized for its practical design approach in the USAR community. Gillett’s research is notable for bridging the gap between theoretical multi-robot coordination and real-world deployable systems, emphasizing operator usability in time-sensitive scenarios. His work continues to inform the development of scalable, user-centered interfaces for emergency response robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A graphical user interface for multi-robot control in urban search and rescue applications
6 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago