Vitor Hideyo Isume

The University of Osaka, Toyo University

Papers

Total Citations

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About

Vitor Hideyo Isume is a robotics researcher focused on enabling autonomous systems to perform complex, real-world manipulation tasks by drawing inspiration from human intelligence. His primary research areas include robotic assembly, affordance-based reasoning, and task planning for domestic environments. Isume’s major contribution is the development of a complete Craft Assembly System that leverages the concept of affordances—the action possibilities offered by objects—to allow a robot to assemble a goal object from available materials without requiring a pre-defined instruction set, mirroring human DIY problem-solving. This work, published in 2021, has garnered 3 citations and represents a foundational step toward more flexible and intuitive robotic manufacturing. More recently, Isume has advanced into cooking task planning, proposing a novel system that uses Large Language Models (LLMs) to generate task plans from video demonstrations, which are then verified by a graph network to ensure feasibility in a robotic environment. This 2025 paper, with 1 citation, addresses the critical challenge of translating highly variable human cooking data into reliable robot actions. By bridging affordance theory with modern AI, Isume is pioneering methods that bring robots closer to performing everyday tasks with human-like adaptability and common sense.