K. MASUDA
Papers
1
Total Citations
6
H-Index
1
About
K. Masuda’s research focuses on autonomous robotics, particularly the challenge of path planning in dynamic environments shared with moving obstacles like people and other robots. Their most-cited work, “Mobile Robots Path Planning Method with the Existence of Moving Obstacles” (2006), addresses a critical bottleneck in real-world robot navigation: safely avoiding moving objects while reaching a destination. This contribution is foundational for deploying robots in crowded factories, offices, and public spaces, where static path planning is insufficient. Masuda’s approach integrates real-time obstacle detection with adaptive route generation, enabling robots to operate more reliably and autonomously. Though their citation count is modest, the work’s relevance has grown with the rise of collaborative and service robots. Masuda’s research underscores a pragmatic, application-driven mindset—solving tangible problems in robot mobility that directly impact industrial and service automation. For students and researchers in robotics, Masuda’s work offers a clear example of how early contributions to dynamic path planning continue to inform modern autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1