Yuri Sakai
Papers
1
Total Citations
10
H-Index
1
About
Yuri Sakai is a robotics researcher whose work centers on autonomous navigation and motion planning for nonholonomic wheeled mobile robots. His most cited study, "Improvement of convergence to goal for wheeled mobile robot using parking motion" (2003, 10 citations), introduces an online path planning algorithm that enables a two-wheeled robot equipped with a CCD camera to reach a target while avoiding obstacles in uncertain environments. A key innovation is the use of parking-like maneuvers to improve convergence to the goal, addressing the inherent constraints of nonholonomic systems. Though his citation count is modest, Sakai’s contribution is notable for its practical approach to real-time obstacle avoidance and path convergence, laying groundwork for later advances in autonomous ground vehicles. His work exemplifies the integration of visual sensing with motion control, a foundational challenge in mobile robotics. For students and researchers exploring nonholonomic motion planning or sensor-based navigation, Sakai’s algorithm offers a clear, implementable solution that bridges theory and application in uncertain, dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1