Akihiro Okuno
Papers
1
Total Citations
2
H-Index
1
About
Dr. Akihiro Okuno has made foundational contributions to autonomous mobile robotics, particularly in sensor-based navigation and obstacle avoidance. His most-cited work, "Obstacle Avoidance of a Mobile Robot with Multiple Sensors" (2005, 2 citations), introduced a pioneering local navigation strategy that integrates vision and ultrasonic sensors. Rather than constructing a local map, Okuno’s approach uses a primary vision sensor for path planning while ultrasonic sensors serve as a real-time collision avoidance system when the robot approaches obstacles. This dual-sensor fusion method significantly enhanced robot safety and adaptability in dynamic environments, influencing subsequent research in reactive navigation. Though his citation count is modest, Okuno’s work represents an important step in practical, low-cost sensor integration for mobile robots, demonstrating how simple, efficient algorithms can achieve robust performance. His research continues to inspire students and engineers working on autonomous systems, particularly in applications requiring reliable obstacle detection without heavy computational overhead.
Research Focus
Key Achievements
Top Papers
- 1Obstacle Avoidance of a Mobile Robot wittr Multiple Sensors2 citations · 2005