T. Sugimoto
Papers
2
Total Citations
9
H-Index
2
About
T. Sugimoto is a robotics researcher specializing in mobile robot navigation, sensor-based perception, and obstacle detection in dynamic environments. Their early work laid foundational approaches for autonomous systems operating in real-world, unpredictable settings. Sugimoto’s 2002 paper on omni-directional vertical stereo vision introduced a novel method for localization and obstacle detection, enabling robots to perceive their surroundings more comprehensively using multi-directional visual input. This work, cited 5 times, demonstrated how stereo vision could be adapted for 360-degree environmental awareness, a key challenge in field robotics. Complementing this, their study on on-line navigation among moving obstacles using ultrasonic sensors (4 citations) addressed the critical problem of real-time path planning in crowded or hazardous spaces, where robots must react to dynamic threats like humans or other vehicles. Together, these contributions highlight Sugimoto’s focus on practical, sensor-driven solutions for safe and efficient robot mobility. Their research remains relevant for engineers developing autonomous vehicles, service robots, and industrial automation systems, offering early insights into the integration of vision and ultrasonic sensing for robust navigation.
Research Focus
Key Achievements
Top Papers
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- 2