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About

Irmak Guzey is an emerging robotics researcher whose work sits at the cutting edge of dexterous robotic manipulation, tactile sensing, and embodied learning. Her research addresses one of the field's most enduring challenges: enabling multi-fingered robots to perform the precise, contact-rich manipulation that comes naturally to humans. Guzey's most influential contribution, "See to Touch: Learning Tactile Dexterity through Visual Incentives" (2024, 18 citations), pioneered a framework that bridges visual and tactile perception to unlock fine-grained dexterity in robotic hands. Building on this, her work "Dexterity from Touch" (2023, 8 citations) introduced self-supervised pre-training of tactile representations through robotic play, offering a scalable pathway to learning without costly labeled data. Her broader portfolio reflects a systems-level vision: from designing the learning-driven humanoid hand RUKA, to developing OPEN TEACH, an accessible teleoperation platform democratizing dexterous manipulation research, to training robots directly from human video demonstrations. Together, these contributions are steadily closing the gap between human and robotic dexterity, making Guzey a distinctive voice shaping the next generation of intelligent, touch-aware robotic systems.