Yasutada Horiuchi

Papers

Total Citations

H-Index

About

Yasutada Horiuchi is a pioneering roboticist whose research centers on sensor-based path-planning algorithms for mobile robots operating in unknown environments, with a particular focus on optimizing navigation efficiency and minimizing path length. His most influential work, "Evaluation of path length made in sensor-based path-planning with the alternative following" (2002, 23 citations), established new upper bounds for path length in sensor-based planning, advancing beyond classic algorithms like Bug2 and Class1. In a complementary study (2002, 19 citations), Horiuchi conducted a comparative analysis of sensor-based path-planning algorithms in unknown mazes, revealing how robots can become trapped in long local and global loops—a critical insight for improving autonomous navigation. Beyond foundational path-planning, Horiuchi has innovated in human-robot interaction through his "Truly-Tender-Tailed Tag-Playing Robot Interface" (2010, 9 citations), which introduces a Friendly Amusing Mobile (FAM) function to the Step-On Interface (SOI). This work expands mobile robot applications from maintenance and rehabilitation to engaging, playful interactions, demonstrating Horiuchi's commitment to making robotics both efficient and accessible. His contributions continue to influence researchers developing robust navigation strategies for autonomous systems in complex, real-world environments.