About

Garry Glaspell is a robotics researcher specializing in autonomous navigation, mapping, and inspection for challenging, infrastructure-critical environments. His work centers on developing low Size, Weight, Power, and Cost (SWaP-C) payloads for Unmanned Ground Vehicles (UGVs), with a particular focus on subterranean and low-visibility settings. Glaspell’s major contributions include pioneering methods for robotic inspection of earth dam outlet works, where he has demonstrated autonomous navigation and mapping in simulated and real-world scenarios to preempt structural failures. His research on integrating thermal imagery and object detection for Simultaneous Localization And Mapping (SLAM) enables UGVs to operate in pure darkness or smoke, advancing their utility in dense urban areas and hazardous subsurface structures. With over 20 citations across his most-cited papers, Glaspell’s work has direct implications for national infrastructure maintenance, as seen in his DAMBOT™ project for the US Army Corps of Engineers. Notably, he has also explored Docker containerization for ROS-based applications, streamlining deployment of robotic systems. His achievements highlight a commitment to solving real-world inspection challenges, making his research essential for students and engineers interested in field robotics and infrastructure resilience.

Research Focus

Key Achievements

3
H-Index
7
Papers
24
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Optimized low Size, Weight, Power and Cost (SWaP-C) payload for mapping interiors and subterranean on an Unmanned Ground Vehicle
8 citations · 2020
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: United States Army, U.S. Army Engineer Research and Development Center, Construction Engineering Research Laboratory

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago