Kota Morino

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About

Kota Morino is a researcher in robotics and automation, with a focus on sensor-integrated manipulation systems. His key contributions lie in enhancing robotic bin-picking—a critical task in industrial automation—by combining vision and tactile sensing for improved reliability. In his most-cited work, "Robust bin-picking system using tactile sensor" (2019, 11 citations), Morino presents a system that uses fast template-matching via a vision sensor to estimate object position and orientation, while tactile sensors detect the success or failure of each grasp. This dual-sensor approach addresses a common challenge in unstructured environments, where occlusions or irregular object arrangements can cause picking errors. By integrating tactile feedback, the system achieves greater robustness, reducing failure rates and enabling more autonomous operation. Though early in his career, Morino’s work has already influenced the design of practical, sensor-rich robotic systems, contributing to safer and more efficient automation in manufacturing and logistics. His research underscores the growing importance of multimodal sensing in bridging the gap between perception and action in robotics.