Ryosuke Iinuma

Papers

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About

Ryosuke Iinuma is a robotics researcher focused on solving critical labor shortages in agriculture and logistics through autonomous systems. His primary research areas include autonomous navigation, pallet handling, and field robotics, with a particular emphasis on developing intelligent forklift systems for outdoor environments. Iinuma’s major contributions center on creating fully autonomous pallet handling and stacking systems that can operate in challenging, unstructured agricultural fields. His most cited work, "Pallet Handling System with an Autonomous Forklift for Outdoor Fields" (2020, 23 citations), addresses Japan’s aging workforce by enabling forklifts to automatically unload and convey pallets without human intervention. He further advanced this technology in "Robotic Forklift for Stacking Multiple Pallets with RGB-D Cameras" (2021, 9 citations), solving the complex problem of precisely stacking mesh pallets—a task requiring millimeter-level accuracy due to the small size of pallet feet and edges. By integrating RGB-D cameras for perception and control, Iinuma’s work directly tackles real-world agricultural logistics challenges, demonstrating how robotics can replace manual labor in demanding outdoor settings. His research represents a practical step toward sustainable automation in industries facing demographic decline.