Kota Hisafuru
Papers
1
Total Citations
4
H-Index
1
About
Kota Hisafuru is a robotics and embedded systems researcher whose work centers on real-time autonomous navigation and FPGA-accelerated computing. His most-cited paper, "An autonomous driving system utilizing image processing accelerated by FPGA" (2021, 4 citations), presents a novel integration of field-programmable gate arrays with the Robot Operating System (ROS) on an Ultra96-V2 board. This work demonstrates how programmable logic can offload computationally intensive image processing tasks, enabling faster and more reliable decision-making for small-scale autonomous robots. Hisafuru’s contributions lie at the intersection of hardware acceleration and practical robotics, showing how custom silicon can overcome the latency and power constraints typical of software-only approaches. By combining ROS’s modular middleware with FPGA parallelism, he has created a scalable framework for real-time perception and control. Though his citation count is modest, his research is technically significant for students and engineers exploring embedded AI and edge computing. Hisafuru’s work serves as a valuable case study in balancing algorithmic complexity with hardware efficiency—a key challenge in deploying autonomous systems on resource-constrained platforms.
Research Focus
Key Achievements
Top Papers
- 1