Kouhei Takemoto

Papers

Total Citations

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About

Kouhei Takemoto is a researcher in robotics and autonomous systems, with a focus on human-robot interaction and mobile robot perception. His work centers on enabling small autonomous mobile robots to detect and interact with humans in dynamic environments, a critical challenge for applications in service robotics, healthcare, and assistive technologies. Takemoto’s most notable contribution is his 2012 paper "Human detection by a small autonomous mobile robot," which explores sensor-based algorithms for real-time human recognition in constrained robotic platforms. While his citation count remains modest—with this key paper accumulating 2 citations—his research addresses foundational issues in robot autonomy and safety. Takemoto’s work is particularly relevant for students and researchers interested in the practical deployment of compact robots in human-centric spaces, where robust detection systems are essential for collaborative tasks. His contributions highlight the ongoing efforts to bridge the gap between theoretical robotics and real-world application, offering insights into the challenges of scaling perception systems for small-scale, cost-effective platforms.