Abigail DeFranco

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About

Abigail DeFranco is a robotics researcher whose work centers on dexterous manipulation and advanced tactile sensing systems. Her most notable contribution, "All the Feels: A Dexterous Hand With Large-Area Tactile Sensing," addresses two of the field's most persistent challenges: the prohibitive cost and unreliability of dexterous robotic hands, and the absence of tactile sensors capable of covering an entire robotic hand's surface area. By tackling both problems simultaneously, DeFranco's research opens new pathways for richer, low-level sensory feedback that could dramatically improve how robots learn and execute complex manipulation tasks. The work, which appeared in both a 2022 preliminary form and a more widely circulated 2023 version, has accumulated 20 citations combined, reflecting growing community interest in her approach. Her research sits at a compelling intersection of hardware engineering, sensor design, and machine learning for robotics, areas increasingly critical as the field moves toward deploying capable, adaptable robotic hands in real-world environments. For students and researchers working on embodied AI or robot learning, DeFranco's contributions represent an important step toward making dexterous, tactile-aware robotics both practical and accessible.