Takuya Yamakawa
Papers
2
Total Citations
5
H-Index
2
About
Takuya Yamakawa is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular emphasis on environment perception and collision avoidance. His primary contributions lie in the development of path planning algorithms that leverage potential field methods, a technique that guides robots through dynamic environments by simulating attractive and repulsive forces. Yamakawa’s key innovation involves the use of two fixed-angle laser scanners to achieve stable and robust environment recognition, enabling mobile robots to detect obstacles more comprehensively than with a single sensor. This dual-scanner configuration addresses the challenge of incomplete obstacle shapes, enhancing the robot’s ability to navigate safely in real-world settings. His most cited paper, “Development of path planning algorithm using potential field based on two fixed-angle laser scanners” (2010), has garnered 3 citations, while a related study on a JAUS-compliant mobile robot (2010) has 2 citations. Though his citation counts are modest, Yamakawa’s work contributes to foundational advances in sensor integration and reactive navigation, offering practical solutions for autonomous systems in cluttered environments. His research remains relevant for students and engineers exploring cost-effective, real-time obstacle avoidance strategies.
Research Focus
Key Achievements
Top Papers
- 1
- 2