Hiroki Sakamoto
Papers
1
Total Citations
6
H-Index
1
About
Hiroki Sakamoto is a researcher in intelligent transportation systems and autonomous vehicle control, with a focus on vehicle platooning and multi-agent coordination. His most-cited work, "Robot Vehicle Platoon Experiment Based on Multi-leader Vehicle Following Model" (2014, 6 citations), introduces a velocity control algorithm for robotic vehicle platoons, leveraging a multi-leader following model to enhance stability and performance. Sakamoto’s key contribution lies in optimizing sensitivity parameters through stability analysis, demonstrating that the algorithm effectively maintains platoon cohesion and responsiveness. This work has implications for real-world autonomous convoys, improving traffic flow and safety. While his citation count is modest, his experimental approach bridges theoretical models and practical robotics, offering foundational insights for scalable platoon systems. Sakamoto’s research is notable for its hands-on validation of control strategies, making it a reference for engineers developing cooperative vehicle systems. His achievements highlight the importance of integrating stability theory with real-world testing, paving the way for more efficient and reliable autonomous transportation networks.
Research Focus
Key Achievements
Top Papers
- 1