Kanta Ono

The Graduate University for Advanced Studies, SOKENDAI, The University of Osaka, High Energy Accelerator Research Organization

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About

Kanta Ono is pioneering the automation of materials science through robotics, with a focus on transforming tedious, manual laboratory tasks into precise, reproducible processes. Their key research areas include robotic laboratory automation, mechanochemical synthesis, and intelligent sensor integration for material preparation. Ono’s major contributions center on developing autonomous systems for powder handling and analysis. Their 2022 work on "Robotic Powder Grinding with a Soft Jig" (17 citations) introduced a novel solution for grinding small samples—a bottleneck in materials research—by using a compliant mechanism to mimic human dexterity. Building on this, their 2024 study on an "Autonomous robotic experimentation system for powder X-ray diffraction" (13 citations) achieved high-precision sample preparation and phase quantification with minimal material, significantly accelerating characterization workflows. Most notably, Ono’s "Force-controlled robotic mechanochemical synthesis" (7 citations) demonstrated that robotic systems can control reaction pathways by precisely modulating grinding force and speed, enabling reproducible, scalable synthesis of novel materials. By integrating audio-visual feedback into their grinding systems (2023), Ono is advancing closed-loop automation. Their work is reshaping laboratory practice, promising to free researchers from repetitive tasks and unlock new possibilities in high-throughput materials discovery.