Takayuki Hamamoto
Osaka Electro-Communication University, Tokyo University of Science
Papers
4
Total Citations
23
H-Index
4
About
Takayuki Hamamoto is a leading researcher in autonomous robotics and computational imaging, with a career dedicated to bridging the gap between machine perception and real-world navigation. His foundational work on nonholonomic mobile robots introduced an innovative online path planning algorithm that enables two-wheeled, vision-guided robots to converge on goals while dynamically avoiding obstacles—a critical advance for autonomous systems operating in uncertain environments. Hamamoto’s more recent contributions center on depth estimation using tilted lens optics, where he has developed methods to extract precise distance information from defocus blur in single or dual images. His 2011 paper on real-time depth estimation with a wide detectable range, along with subsequent works from 2012 and 2013, demonstrate how a simple optical modification can replace complex stereo setups, achieving robust 3D sensing for applications from automotive safety to robotic manipulation. Though his citation counts reflect a focused, technical audience, Hamamoto’s impact is evident in the practicality of his solutions: his parking motion algorithm remains a reference for wheeled robot control, while his lens-based depth techniques offer a low-cost, high-accuracy alternative for real-time range finding.
Research Focus
Key Achievements
Top Papers
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