Goki Fujimoto
Papers
1
Total Citations
2
H-Index
1
About
Goki Fujimoto is a robotics researcher whose work focuses on assistive technologies for individuals with visual impairments, particularly through the development of guide-dog robots. His most cited paper, "2P2-F09 Detection and Avoidance of Pole-Shape Obstacles for a Guide-Dog Robot" (2008, 2 citations), introduces a robotic system that integrates a moving mechanism, obstacle detection and avoidance, and a human-machine interface. Fujimoto’s key contribution lies in verifying the use of a stereo vision method to detect pole-shaped obstacles—and extending this capability to bar-shaped obstacles—within controlled indoor environments. This work addresses a critical safety challenge for autonomous navigation aids. While his citation count remains modest, his research represents an early and foundational step in the field of robotic assistance for the visually impaired, demonstrating how sensor-based perception can enhance mobility and independence. Fujimoto’s efforts highlight the practical intersection of robotics, computer vision, and human-centered design, offering a glimpse into the future of intelligent mobility aids.
Research Focus
Key Achievements
Top Papers
- 1