Papers
24
Total Citations
555
H-Index
11
About
Jnaneshwar Das is a leading researcher at the intersection of field robotics, marine science, and autonomous systems. His work focuses on developing intelligent robotic platforms—including autonomous underwater vehicles (AUVs), wave gliders, and modular quadrotors—for environmental monitoring and oceanographic sampling. Das pioneered data-driven robotic sampling strategies for dynamic marine ecosystems, enabling persistent collection of physical samples for ex-situ analysis. His research on coordinated sampling of oceanographic features using underwater vehicles and drifters has been highly influential, with his most-cited paper garnering 110 citations. He also contributed to the development of OpenUAV, a widely-used testbed for cyber-physical systems and robotics research (62 citations). Notable achievements include vision-based self-assembling modular quadrotors (ModQuad-Vi) and predictive models for wave glider speed from environmental data, which enhance long-duration autonomous missions. His work on harmful algal bloom trajectory prediction and multi-robot collaboration in communication-limited environments has advanced both robotics and ocean science. With over 480 total citations across ten key publications, Das continues to shape the future of autonomous environmental sensing.
Research Focus
Key Achievements
Top Papers
- 1Data-driven robotic sampling for marine ecosystem monitoring110 citations · 2015
- 2
- 3OpenUAV: A UAV Testbed for the CPS and Robotics Community62 citations · 2018
- 4ModQuad-Vi: A Vision-Based Self-Assembling Modular Quadrotor50 citations · 2019
- 5Towards marine bloom trajectory prediction for AUV mission planning47 citations · 2010
- 6
- 7
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- 9Predicting Wave Glider speed from environmental measurements29 citations · 2011
- 10