Shin Kameyama
Papers
1
Total Citations
4
H-Index
1
About
Shin Kameyama is a robotics researcher whose work focuses on advancing autonomous navigation in complex, three-dimensional environments. His key contributions lie in developing real-time global path planning algorithms for mobile robots, particularly those with intricate 3-D shapes operating in large-scale, unstructured spaces. His most-cited paper, "Real-time global path planning for mobile robots with a complex 3-D shape in large-scale 3-D environment" (2021), addresses the critical challenge of enabling robots to navigate efficiently through cluttered, real-world settings—such as disaster zones or industrial sites—where traditional 2-D planning fails. By integrating shape-aware constraints with rapid computational methods, Kameyama’s approach reduces planning time while ensuring collision-free trajectories, a breakthrough for practical deployment. Though early in his career, his work has garnered attention for its potential to enhance search-and-rescue missions and autonomous exploration. With 4 citations to date, his research lays a foundation for more adaptive and robust robotic systems, bridging the gap between theoretical path planning and real-world application. Kameyama’s dedication to solving spatial navigation problems marks him as an emerging voice in field robotics.
Research Focus
Key Achievements
Top Papers
- 1