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About

Yuki Onishi is a robotics and automation researcher whose work spans agricultural robotics, swarm robotics, and underwater robotic systems. Best known for pioneering the application of deep learning to automated fruit harvesting, Onishi developed a vision-based robotic system capable of detecting and harvesting fruits with remarkable speed and accuracy using single-shot detection methods — a contribution that has garnered nearly 200 citations and stands as one of the most impactful works in agricultural automation. This research directly addresses the global challenge of labor shortages in fruit farming, representing a significant step toward practical, deployable agricultural robots. Beyond agriculture, Onishi has explored innovative human-robot interaction through the WaddleWalls project, a room-scale system employing swarms of robotic partitions that dynamically reconfigure workspaces to meet occupants' privacy and collaboration needs — work that has attracted 25 citations and highlights a creative expansion into intelligent environments. Earlier in their career, Onishi also investigated flexible joint mechanisms driven by water pressure for underwater robotic manipulators, demonstrating a broad engineering foundation. Across these diverse domains, Onishi's research consistently pursues practical robotic solutions to real-world challenges, making meaningful contributions to both industry and academic communities.