David Kahana
Papers
1
Total Citations
5
H-Index
1
About
David Kahana is a researcher focused on advancing autonomous underwater vehicle (AUV) technology, with a particular emphasis on real-time sensing, low-power embedded systems, and acoustic obstacle detection. His most-cited work, "Acoustic real-time, low-power FPGA based obstacle detection for AUVs" (2010), addresses a critical challenge in underwater robotics: enabling vehicles to navigate unknown environments autonomously and safely. By leveraging field-programmable gate arrays (FPGAs), Kahana’s design achieves efficient, real-time processing of acoustic data while minimizing power consumption—a key requirement for long-duration missions. This contribution supports the broader goal of replacing human divers in complex, hazardous underwater tasks, allowing AUVs to make mission-critical decisions based on sensor readings. Though his citation count is modest, his work has practical significance in the niche field of low-power underwater sensing, laying groundwork for more capable, energy-efficient autonomous systems. Kahana’s research underscores the importance of hardware-software co-design in robotics, offering a path toward more intelligent and self-reliant underwater exploration.
Research Focus
Key Achievements
Top Papers
- 1Acoustic real-time, low-power FPGA based obstacle detection for AUVs5 citations · 2010