Masanari Tennomi

Papers

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About

Masanari Tennomi is a robotics researcher specializing in intelligent manufacturing systems, with a focus on sensor-integrated robotic manipulation and cost-effective assembly automation. His work bridges the gap between robust industrial applications and practical, low-barrier implementation. Tennomi’s most influential contribution is his 2019 paper on a robust bin-picking system that integrates tactile and vision sensors. By combining fast template-matching for object localization with tactile feedback to verify grasp success, he developed a system that significantly improves reliability in unstructured environments—a critical challenge in industrial automation. This work has garnered 11 citations, establishing a foundation for sensor-fusion approaches in robotic picking. In his 2020 study on assembly systems, Tennomi addressed a major industrial bottleneck: the high cost and time required for tool changes and worktable customization in cell production. He demonstrated a streamlined system using only two hands and no tool changes, achieving quick, low-cost installation. This practical innovation, with 7 citations, highlights his commitment to making automation accessible for small and medium enterprises. Tennomi’s research is notable for its direct industrial applicability, offering elegant solutions that reduce complexity while maintaining performance.