Kai Kurabayashi
Papers
1
Total Citations
2
H-Index
1
About
Kai Kurabayashi is a robotics researcher specializing in autonomous chemical plume tracing (CPT) and environmental sensing. His work addresses the challenge of enabling mobile robots to efficiently locate chemical sources in complex, turbulent environments. Kurabayashi’s key contribution is the development of a variable capture-angle sampling system for CPT robots, which adapts spatial resolution based on real-time environmental conditions. This innovation improves detection accuracy and energy efficiency compared to fixed-angle systems. His most-cited paper (2020, 2 citations) demonstrates the system’s effectiveness in controlled experiments, laying groundwork for applications in hazardous spill response and environmental monitoring. While his citation count is modest, his work represents a novel approach to a longstanding robotics problem, bridging sensor design and adaptive control. Kurabayashi’s research is particularly relevant for students and engineers interested in bio-inspired robotics, chemical sensing, and autonomous navigation in dynamic settings. His focus on practical, case-specific sampling strategies offers a fresh perspective on plume tracing, with potential implications for search-and-rescue and industrial safety.
Research Focus
Key Achievements
Top Papers
- 1