Mikito Takahashi
Papers
1
Total Citations
15
H-Index
1
About
Mikito Takahashi is a robotics researcher whose work centers on safe, real-world navigation for mobile robots, with a particular focus on emergency obstacle avoidance and sensor-based perception. His most cited paper, "Development of prediction based emergency obstacle avoidance module by using LIDAR for mobile robot" (2014, 15 citations), introduces a novel module that leverages LIDAR to predict and evade both static and dynamic obstacles—such as curbs, pedestrians, and bicycles—in complex environments. This contribution addresses a critical gap in autonomous navigation: ensuring safety when robots encounter unpredictable, moving hazards. Takahashi’s approach emphasizes real-time prediction and reactive control, making his work foundational for applications in service robotics, autonomous vehicles, and assistive mobility. Though his citation count is modest, his research demonstrates a focused, practical impact on improving robot robustness in cluttered, human-populated settings. By integrating LIDAR-based sensing with predictive algorithms, Takahashi has advanced the reliability of mobile robots, offering a blueprint for safer human-robot interaction in everyday scenarios.
Research Focus
Key Achievements
Top Papers
- 1