Max Robotics — Global Service Robot Directory + US Certification

About

Shigeru Bando is a robotics researcher whose work focuses on autonomous navigation for mobile robots, particularly in outdoor and indoor environments. His key research areas include road-following navigation, orientation detection, and spatial localization without reliance on GPS. Bando’s major contributions center on developing methods that allow robots to navigate complex environments—such as parks and pedestrian streets—by detecting orientation and identifying intersections, mimicking human wayfinding. His most cited paper, "Road following based navigation in park and pedestrian street by detecting orientation and finding intersection" (2011, 7 citations), and its follow-up (2012, 6 citations) demonstrate his impact in advancing autonomous outdoor navigation for service robots. He also contributed to indoor localization through spatial frequency analysis of 2D range data (2013, 2 citations) and orientation estimation using building structure properties (2013, 2 citations). Notably, Bando developed a mobile 3D-LIDAR system with an unlimited rotating device (2015, 2 citations), enabling compact, high-speed 3D point cloud acquisition for human-portable applications. His work bridges practical navigation challenges with innovative sensor design, offering foundational insights for students and researchers in robotics and autonomous systems.