Owen Queeglay

University of Minnesota System

Papers

1

Total Citations

5

H-Index

1

About

Owen Queeglay is a researcher at the forefront of human-robot interaction in extreme environments, with a primary focus on autonomous underwater vehicles (AUVs). His work addresses a critical gap: enabling natural, intuitive communication between humans and robots in the deep sea, where traditional methods like speech or gesture are impractical. Queeglay’s most cited paper, “Underwater Robot-To-Human Communication Via Motion: Implementation and Full-Loop Human Interface Evaluation” (2022, 5 citations), pioneers a novel approach using AUV motion itself as a communication channel. This work moves beyond the field’s reliance on digital displays or topside human-in-the-loop systems, offering a direct, environmentally robust interface. By designing and evaluating a full-loop system where the robot’s movements convey status and intent, Queeglay has laid foundational groundwork for more autonomous and collaborative underwater missions. His contributions are particularly impactful for marine science, offshore industry, and search-and-rescue operations, where reliable robot-human communication is essential. Though still early in his career, Queeglay’s innovative focus on motion-based signaling marks him as a rising leader in underwater robotics and human-robot interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Underwater Robot-To-Human Communication Via Motion: Implementation and Full-Loop Human Interface Evaluation
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Minnesota System

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago