James F. Donnelly

Virginia Tech

Papers

1

Total Citations

9

H-Index

1

About

James F. Donnelly is a roboticist whose research lies at the intersection of aerial robotics, autonomous exploration, and multi-robot coordination. His most influential work, "Online Aerial 2.5D Terrain Mapping and Active Aerial Vehicle Exploration for Ground Robot Navigation" (2022), has garnered 9 citations and addresses a critical challenge in field robotics: enabling aerial vehicles to autonomously map rugged terrain in real-time to guide ground robots through complex environments. This contribution bridges the gap between aerial perception and ground mobility, offering practical solutions for search-and-rescue, environmental monitoring, and planetary exploration. Donnelly’s approach combines active exploration strategies with efficient 2.5D terrain modeling, allowing drones to intelligently select viewpoints that maximize mapping accuracy while minimizing energy expenditure. His work is notable for its direct applicability to real-world deployments, where robust, real-time mapping is essential for safe navigation. By focusing on the symbiotic relationship between aerial and ground platforms, Donnelly advances the frontier of cooperative autonomy, making him a rising voice in the field of field robotics and autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Online Aerial 2.5D Terrain Mapping and Active Aerial Vehicle Exploration for Ground Robot Navigation
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Virginia Tech

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago