Yoshinori Takeuchi
Papers
3
Total Citations
17
H-Index
3
About
Yoshinori Takeuchi is a researcher whose work lies at the intersection of robotics, human-robot interaction, and multimodal perception. His research focuses on enabling robots to perceive and interact with their environment through the integration of auditory, visual, and tactile information. A key contribution is his pioneering work on active sound localization, where he developed a mobile robot capable of not only detecting a sound source behind obstacles but also discriminating whether that source is a human—a foundational step for socially aware robotics. He further advanced human-robot communication by designing interfaces that combine hand gestures and verbal cues, allowing humans to intuitively inform robots of object locations. In his exploration of multimodal integration, Takeuchi proposed methods for robots to find correspondences between audio and visual events through active object manipulation, mimicking how humans understand their surroundings. While his most cited works (with 7, 6, and 4 citations respectively) are early-career publications, they demonstrate a consistent focus on creating more perceptive and interactive robotic systems. His research remains relevant for students and engineers working on autonomous navigation, assistive robotics, and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Finding the Correspondence of Audio-Visual Events by Object Manipulation4 citations · 2008