Ryota Suenaga

Meiji University

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

1
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Development of a Web-Based Education System for Deep Reinforcement Learning-Based Autonomous Mobile Robot Navigation in Real World
3 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Meiji University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago