Takayuki Yamabe

Papers

Total Citations

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About

Takayuki Yamabe is a robotics researcher focused on advancing autonomous manufacturing systems through the integration of perception and control. His primary research areas include flexible assembly, force and vision feedback, and robotic manipulation of deformable materials. Yamabe made significant contributions to the development of autonomous assembly systems, as demonstrated by his work on the Industrial Assembly Challenge at the World Robot Summit 2020, where he explored integrating force and vision feedback to enable robots to handle surprise parts and adapt to dynamic environments—a key step toward flexible, real-world manufacturing. His paper on this topic has garnered 3 citations. More recently, Yamabe has tackled the challenging problem of adhesive dispensing, proposing both analysis-based and learning-based models to predict material behavior during robotic dispensing tasks, addressing a critical gap in manipulating flexible objects. Though his citation counts are still growing, his work represents foundational advances in bringing robots closer to human-like dexterity in industrial settings, with potential applications in electronics assembly and automated manufacturing.