Yuya Kudo
Papers
1
Total Citations
6
H-Index
1
About
Yuya Kudo is a researcher in robotics and embedded systems, with a focus on developing autonomous platforms for micro-scale robots. His key contributions center on creating efficient, all-programmable system-on-chip (SoC) architectures that enable small-scale robots to perform complex tasks such as probing, exploring, and rescuing in constrained environments. His most cited work, "A Platform on All-Programmable SoC for Micro Autonomous Robots" (2018, 6 citations), addresses the unique challenges of autonomy in power- and computation-limited robots, contrasting sharply with the resource-rich platforms used in autonomous vehicles. By leveraging FPGA-based SoCs, Kudo’s research pushes the boundaries of what is possible for micro-robots, offering scalable solutions for real-time decision-making and control. His work is notable for bridging hardware and software co-design, making advanced autonomy accessible in compact, energy-efficient forms. Though early in his career, Kudo’s contributions are paving the way for next-generation autonomous systems in search-and-rescue, environmental monitoring, and exploration, where size and power constraints are critical.
Research Focus
Key Achievements
Top Papers
- 1A Platform on All-Programmable SoC for Micro Autonomous Robots6 citations · 2018