Kento Nishibori
Papers
2
Total Citations
5
H-Index
1
About
Kento Nishibori is a robotics researcher whose work bridges active perception and passive mechanical systems. His key research areas include multimodal sensory integration, object manipulation, and energy-efficient robotic locomotion. In his most cited work, "Finding the Correspondence of Audio-Visual Events by Object Manipulation" (2008, 4 citations), Nishibori proposed a method for robots to understand their environment by actively manipulating objects and correlating auditory and visual feedback—mirroring how humans integrate sight, hearing, and touch. This contribution highlights the importance of active exploration in perceptual learning. Nishibori also made a notable foray into passive robotics with "Passive-type aerial acrobat robot climbing up row of swings with rising slope" (2012, 1 citation), where he demonstrated a robot that performs acrobatic maneuvers without any electric power, drawing energy solely from mechanical potential. This work showcases his creativity in designing systems that exploit natural dynamics, offering insights into sustainable, energy-autonomous robotics. Though his citation counts are modest, Nishibori’s research is conceptually rich, inspiring novel approaches to both active perception and passive locomotion in robotics.
Research Focus
Key Achievements
Top Papers
- 1Finding the Correspondence of Audio-Visual Events by Object Manipulation4 citations · 2008
- 2