Masakazu Sugizaki

Papers

Total Citations

H-Index

About

Masakazu Sugizaki is a robotics researcher whose work centers on the intersection of computer vision and autonomous locomotion, with a particular focus on bipedal robot control. His most cited paper, "Biped robot walking control using image processing" (2009), introduces a vision-based system that leverages camera sensors to enable autonomous walking in biped robots. At a time when roboticists were heavily reliant on tactile or inertial sensors, Sugizaki’s approach capitalized on rapid advances in computer technology to use visual data for real-time gait adaptation. Though his citation count (3) is modest, the work reflects a forward-looking integration of perception and motion control—a precursor to modern vision-driven robotics. Sugizaki’s contribution lies in demonstrating how off-the-shelf cameras, combined with efficient image processing algorithms, could replace or augment traditional sensor suites for legged robots. This research is particularly relevant for students exploring low-cost, sensor-rich approaches to humanoid robotics and highlights the enduring challenge of marrying visual feedback with mechanical stability.