Jonathan Ogle
Papers
1
Total Citations
32
H-Index
1
About
Jonathan Ogle is a leading researcher in marine robotics and autonomous surface vehicles, with a focus on energy-harvesting platforms for persistent ocean monitoring. His most-cited work, "Predicting the speed of a Wave Glider autonomous surface vehicle from wave model data" (2014, 32 citations), tackles a fundamental challenge in robotic path planning: reliable navigation to dynamic events over extended periods. By developing methods to forecast the performance of wave-propelled vehicles using environmental data, Ogle enabled these platforms to operate for months without traditional fuel, revolutionizing persistent monitoring applications. His contributions bridge oceanography and robotics, allowing autonomous systems to leverage wave energy for propulsion while maintaining precise timing and positioning. This work is critical for applications like tracking algal blooms, oil spills, or oceanographic fronts. Ogle’s research demonstrates how integrating environmental models with robotic control can extend mission durations and reduce operational costs, making him a key figure in the advancement of long-endurance autonomous marine systems.
Research Focus
Key Achievements
Top Papers
- 1