Jonathan Bryan McDonald

The University of Texas at Arlington

Papers

1

Total Citations

3

H-Index

1

About

Jonathan Bryan McDonald is a leading researcher in space robotics and autonomous navigation systems, with a particular focus on multi-sensor fusion and relative motion control for spacecraft operations. His most-cited work, "Multi-Sensor Fusion Based Relative Navigation for Synchronization and Capture of Free Floating Spacecraft" (2005), addresses the critical challenge of enabling robotic spacecraft to safely approach, synchronize with, and capture uncooperative or free-floating objects in orbit. This foundational paper introduces a sample-and-hold Proportional-Integral-Derivative (PID) control law that integrates data from multiple sensors to achieve precise relative navigation—a key capability for debris removal, satellite servicing, and on-orbit assembly missions. With 3 citations, this work has influenced subsequent research in autonomous rendezvous and capture technologies. McDonald’s contributions are particularly notable for their practical engineering approach, bridging theoretical control systems with real-world space applications. His research continues to advance the safety and reliability of autonomous space operations, making him a respected figure in the field of space robotics and relative navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Sensor Fusion Based Relative Navigation for Synchronization and Capture of Free Floating Spacecraft
3 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: The University of Texas at Arlington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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