Daisuke Sekimori
Papers
7
Total Citations
104
H-Index
4
About
Daisuke Sekimori is a robotics researcher whose work has significantly advanced mobile robot localization and navigation. His primary research focus lies in developing precise self-localization systems for indoor mobile robots, with a particular emphasis on innovative sensor integration and dead-reckoning methodologies. Sekimori's most influential contribution is his pioneering application of optical mouse sensors for mobile robot dead-reckoning — a creative repurposing of consumer hardware that enabled robots to measure floor displacement directly, effectively eliminating cumulative errors caused by wheel slippage and deformation that plagued traditional encoder-based systems. His 2007 paper on precise dead-reckoning using multiple optical mouse sensors garnered 43 citations, reflecting its broad impact on the field. Building on this foundation, he developed hybrid localization frameworks that fused optical mouse sensor data with global camera information, achieving robust indoor positioning without expensive specialized equipment. Earlier work, including high-speed obstacle avoidance using omni-directional floor imaging (2002), demonstrates his sustained interest in practical, computationally efficient robot perception. His involvement with Team OMNI further reflects engagement with competitive robotics platforms. Collectively, Sekimori's research — accumulating over 100 citations — has provided accessible, hardware-efficient solutions that continue to inform cost-conscious mobile robot navigation design.
Research Focus
Key Achievements
Top Papers
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- 4Dead-Reckoning for Mobile Robots Using Multiple Optical Mouse Sensors5 citations · 2005
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- 6The Team Description of the Team OMNI3 citations · 2002
- 7Dead Reckoning for Mobile Robots Using Optical Mouse Sensor3 citations · 2002