Yohei Shiraki

Papers

Total Citations

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About

Yohei Shiraki is a robotics researcher whose work centers on semantic grasping and object manipulation, bridging the gap between raw sensory data and functional understanding. His most-cited paper, "Modeling of everyday objects for semantic grasp" (2014, 17 citations), introduces a pioneering knowledge model that extracts grasp areas and approach directions from 3D point cloud data based on an object’s intended purpose. By analyzing the functional parts of everyday objects, Shiraki’s model enables robots to grasp items not just by geometry, but by meaning—a critical step toward more intuitive and adaptive robotic interaction in human environments. This contribution has informed subsequent research in semantic robotics and manipulation planning, laying groundwork for systems that understand objects beyond their shape. Though his citation count reflects a focused, early-career impact, the conceptual depth of his work—tying perception to purpose—marks him as a thoughtful contributor to the field. For students and researchers, Shiraki’s approach exemplifies how modeling functional semantics can transform robotic grasping from a mechanical task into a cognitive one.