Shuhei Aoyama
Papers
1
Total Citations
2
H-Index
1
About
Shuhei Aoyama is a pioneering researcher in autonomous aerospace systems, with a primary focus on formation flight control and visual servo techniques for spacecraft. His most-cited work, "Formation Flight Using Feature-Based Visual Servo Technique" (2004), introduces an innovative control scheme that leverages image data from onboard cameras to enable precise, coordinated spacecraft maneuvers. This approach bridges robotics and aerospace engineering, applying feature-based visual servoing—a method typically used for robot manipulators—to multi-vehicle formations, allowing for real-time, vision-driven adjustments without reliance on external positioning systems. While his 2004 paper has garnered 2 citations, its conceptual contribution lies in demonstrating how low-cost, camera-based systems can replace complex sensors for autonomous formation flying, a critical capability for future satellite constellations and deep-space missions. Aoyama’s work underscores the potential of integrating computer vision with control theory to achieve robust, decentralized coordination in space environments. His research remains relevant for students and engineers exploring vision-based autonomy, offering a foundational approach to scalable, resource-efficient spacecraft operations.
Research Focus
Key Achievements
Top Papers
- 1Formation Flight Using Feature-Based Visual Servo Technique2 citations · 2004