Papers
1
Total Citations
4
H-Index
1
About
Kouzou Aoki is a robotics researcher whose work centers on autonomous navigation and control systems for mobile robots. His most notable contribution, detailed in his 2012 paper "Online Tracking Control of Autonomous Mobile Robot Utilizing Optimal Formulation," addresses a fundamental challenge in robotics: enabling a wheeled mobile robot to move independently while avoiding obstacles. Aoki’s approach integrates obstacle detection, self-localization, and trajectory planning, allowing the robot to design and track its own optimal paths in real time. This work, which has garnered 4 citations, lays groundwork for practical autonomous systems capable of dynamic environment interaction. Aoki’s research sits at the intersection of control theory and artificial intelligence, with implications for service robotics, industrial automation, and autonomous vehicles. While his citation count is modest, his focus on online, self-generated trajectory optimization represents a meaningful step toward more adaptive and intelligent robotic movement. For students and researchers exploring autonomous navigation, Aoki’s work offers a clear, application-driven example of how optimal control formulations can be leveraged for real-world robotic autonomy.
Research Focus
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Top Papers
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