Jnashewar Das
Papers
1
Total Citations
14
H-Index
1
About
Jnashewar Das is a researcher whose work lies at the intersection of marine robotics and autonomous systems, with a particular focus on the modeling and control of wave glider autonomous surface vehicles. His key contributions center on improving the predictability and reliability of these unique, wave-propelled platforms, which are critical for long-duration oceanographic data collection. In his most cited work, "An analysis of regression models for predicting the speed of a wave glider autonomous surface vehicle" (2013, 14 citations), Das tackled a fundamental challenge in robotic path planning for dynamic marine environments. By developing regression models to forecast vehicle speed, he provided essential tools for ensuring that autonomous vehicles can be optimally positioned to collect data from features that shift with ocean currents. This work directly supports more effective mission planning and data acquisition strategies. Das’s research is notable for its practical impact on field robotics, helping to advance the capabilities of autonomous systems in complex, real-world oceanic settings.
Research Focus
Key Achievements
Top Papers
- 1