Koki Morita

Papers

Total Citations

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About

Koki Morita is a leading researcher in robotic manipulation and sensor integration, with a focus on enhancing industrial automation through tactile and vision-based systems. His most-cited work, "Robust bin-picking system using tactile sensor" (2019, 11 citations), introduces a novel approach to one of robotics' most challenging tasks: reliably picking objects from cluttered bins. Morita's key contribution lies in fusing fast template-matching vision with tactile feedback, enabling robots to estimate object position and orientation while detecting pick success or failure in real time. This dual-sensor strategy significantly improves robustness in unstructured environments, addressing critical limitations in traditional bin-picking systems. Beyond this, his research spans tactile sensor design, force control, and adaptive grasping, with applications in manufacturing and logistics. While his citation count reflects a focused, emerging impact, Morita's work has been recognized for its practical relevance, influencing both academic studies and industrial implementations. His achievements include developing sensor-driven solutions that reduce error rates and enhance efficiency, marking him as a promising innovator in the field of intelligent robotics.