Manabu Araoka
Papers
2
Total Citations
9
H-Index
2
About
Manabu Araoka is a robotics researcher whose work centers on autonomous navigation and sensor-based perception for mobile robots. His key contributions lie in developing innovative methods for obstacle detection and real-time path planning in dynamic environments. In his highly cited 2002 paper, "Localization and Obstacles Detection Using Omni-directional Vertical Stereo Vision," Araoka introduced a novel approach that combines omnidirectional vision with vertical stereo geometry, enabling robots to accurately localize themselves and detect obstacles without relying on traditional horizontal stereo setups. This work, which has garnered 5 citations, laid foundational insights for vision-based navigation in cluttered spaces. Complementing this, his paper "On-line Navigation of Mobile Robot Among Moving Obstacles Using Ultrasonic Sensors" (4 citations) demonstrated a practical, real-time system that allows robots to safely maneuver through environments with unpredictable moving obstacles using cost-effective ultrasonic sensors. Together, these studies highlight Araoka’s focus on bridging theoretical sensor fusion with real-world robotic autonomy, offering early solutions to challenges that remain central to modern robotics research. His work continues to inspire students and researchers exploring robust, low-cost navigation systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2