Kiyoshi Okuda

Papers

Total Citations

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About

Kiyoshi Okuda is a robotics researcher whose work focuses on the critical challenge of autonomous navigation for indoor mobile robots. His primary research areas include sonar signal processing, obstacle detection, and collision avoidance systems. Okuda’s major contributions center on developing practical, low-cost solutions for robots operating in cramped or cluttered environments. He pioneered a simple yet effective distance estimation algorithm using multichannel ultrasonic sonar, enabling robots to detect the arrangement of surrounding obstacles in real time. His most cited work, "A design of onboard multi-channel sonar signal processing system for autonomous mobile robots" (2009, 8 citations), and subsequent papers like "Obstacle arrangement detection using multichannel ultrasonic sonar for indoor mobile robots" (2010, 7 citations) and "A simple obstacle arrangement detection algorithm for indoor mobile robots" (2010, 4 citations), collectively demonstrate his sustained focus on making robots safer and more reliable in narrow workspaces. While his citation counts are modest, his research addresses a fundamental bottleneck in mobile robotics—how to prevent collisions in confined areas—making his work directly relevant to the development of home and office service robots. Okuda’s contributions provide a foundational stepping stone for engineers seeking to enhance robot autonomy in real-world indoor environments.