Ryota Suenaga
Papers
2
Total Citations
4
H-Index
1
About
Ryota Suenaga is a robotics researcher focused on making autonomous systems more accessible and reconfigurable for real-world applications. His primary research areas include deep reinforcement learning for mobile robot navigation, ROS-based robot networking, and educational tools for robotics development. Suenaga’s major contribution is the creation of Rowma, a reconfigurable robot network construction system that allows arbitrary networks to be formed among ROS-based robots and smartphones, enabling flexible task execution through dynamic command and data sharing. This work addresses a critical gap in scalable, multi-robot coordination. Additionally, he developed a web-based education system for deep reinforcement learning-based autonomous navigation, designed to lower the barrier for beginners to build and deploy real-world robot systems. Though his citation counts are currently modest—3 and 1 for his most cited papers—his work represents foundational steps in democratizing advanced robotics. Suenaga’s achievements lie in bridging the gap between complex AI-driven robotics and practical, user-friendly implementation, making him a notable contributor to the growing field of accessible autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Rowma: A Reconfigurable Robot Network Construction System1 citations · 2021