Shotaro Tayama

About

Shotaro Tayama is a researcher in reconfigurable computing and embedded systems, with a focus on FPGA-based architectures for autonomous robotics. His most cited work, "Design and Development of Networked Multiple FPGA Components for Autonomous Tiny Robot Car" (2019), addresses the challenge of real-time image processing for autonomous navigation. Tayama proposed a modular system of multiple FPGA components that collaboratively handle tasks like lane detection, traffic signal recognition, and obstacle identification—demonstrated at the FPT'19 FPGA design competition. This approach enables efficient parallel processing on resource-constrained platforms, advancing the practicality of FPGA-driven autonomy in small-scale robots. With 3 citations, his work has informed subsequent research in distributed reconfigurable systems and edge AI for robotics. Tayama’s contributions highlight the potential of networked FPGAs to bridge the gap between computational demand and hardware limitations in autonomous systems, making his research valuable for students and engineers exploring real-time embedded vision and hardware-software co-design.

Research Focus

Key Achievements

Top Papers

1. 1
   Design and Development of Networked Multiple FPGA Components for Autonomous Tiny Robot Car

   3 citations · 2019

Key Collaborators

Contact & Links