Jason Moulton
Papers
3
Total Citations
42
H-Index
3
About
Jason Moulton is an emerging robotics researcher whose work sits at the intersection of autonomous systems and environmental monitoring, with a particular focus on freshwater ecosystem surveillance. His most recognized contribution, "A Marsupial Robotic System for Surveying and Inspection of Freshwater Ecosystems" (2020), has garnered 25 citations and introduces an innovative multi-robot framework designed to replace dangerous and labor-intensive manual monitoring operations across dynamic aquatic environments. This work reflects Moulton's broader commitment to deploying intelligent robotic systems in real-world ecological contexts. Complementing this research, Moulton has developed robust theoretical and practical foundations for autonomous surface vehicle (ASV) operation. His work on external force field modeling and dynamic ASV control addresses the complex challenge of navigating adversarial environmental forces — such as currents and wind — providing complete operational frameworks encompassing waypoint generation, force modeling, and controller tuning. These contributions are particularly valuable for applications in bathymetric surveying, search and exploration, and environmental data collection. With a growing citation record and research spanning both hardware design and control theory, Moulton represents a promising voice in field robotics and autonomous environmental monitoring systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2External Force Field Modeling for Autonomous Surface Vehicles9 citations · 2020
- 3