Kosuke Hasegawa

Papers

Total Citations

H-Index

About

Kosuke Hasegawa is a robotics researcher whose work centers on intelligent mobile robot navigation, with a particular focus on real-time path planning and environmental perception. His most-cited study, "A study of real-time path planning for mobile robots based on environment recognition using omnidirectional images" (2010), addresses a critical bottleneck in autonomous robotics: the time-intensive process of environment recognition from image sequences. Hasegawa’s key contribution lies in developing a novel path planning algorithm that successfully integrates robust environment detection—leveraging omnidirectional imagery—with efficient, real-time navigation. This work tackles the fundamental challenge of balancing computational speed with accuracy in dynamic settings, enabling robots to perceive their surroundings and plan trajectories without prohibitive delays. While his citation count (4) reflects a focused, early-career impact, the research holds significant value for students and engineers exploring sensor-driven autonomy. Hasegawa’s approach exemplifies the practical integration of computer vision and motion planning, offering a foundation for advancements in service robotics, autonomous vehicles, and field robotics where real-time responsiveness is paramount.