Shinnosuke Tokuda

Papers

Total Citations

H-Index

About

Shinnosuke Tokuda is a robotics researcher whose work centers on autonomous navigation and safe mobile robot operation. His key contributions lie in developing practical algorithms that enable robots to perceive and move through their environments without collisions. His most-cited paper, "Development of collision-free-area detection algorithm for mobile robot" (2014, 2 citations), introduces a method using a depth camera to simultaneously detect three-dimensional obstacles and identify safe travel zones—a foundational step for reliable autonomous movement. While his citation count is modest, this work reflects a focused effort on solving real-world navigation challenges, particularly in cluttered or dynamic settings. Tokuda’s research is notable for its emphasis on sensor-driven, computationally efficient solutions that bridge perception and action. His achievements include advancing the practical deployment of depth-sensing technology in mobile robotics, contributing to safer human-robot interaction. For students and researchers exploring autonomous systems, Tokuda’s work offers a clear example of how targeted algorithmic development can address critical safety and reliability issues in robot navigation.