Kohei Miyachi

University of Tsukuba

Papers

1

Total Citations

16

H-Index

1

About

Kohei Miyachi is a researcher whose work bridges robotics and sensor technology, with a particular focus on advancing the capabilities of laser rangefinders. His key research areas include sensor data processing, object recognition, and robotic perception. Miyachi's most notable contribution is a pioneering method for estimating the lightness of objects using intensity data from the SOKUIKI sensor, specifically the URG-04LX model. By leveraging the sensor's special firmware to extract Received Light Intensity and AGC Voltage Level, he developed a technique to approximate gray levels from distance measurements—a novel approach that enhances object classification without additional hardware. This work, published in 2008, has garnered 16 citations and remains relevant for researchers in robotics and automation seeking cost-effective solutions for environmental sensing. Miyachi's contribution stands out for its practical ingenuity, enabling robots to perceive not just spatial geometry but also surface properties, thereby enriching their interaction with the world. His research exemplifies how clever sensor data interpretation can unlock new dimensions in robotic vision.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A method for estimation of lightness of objects with intensity data from SOKUIKI sensor
16 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Tsukuba

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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