Hanna Matusik

Papers

Total Citations

H-Index

About

Hanna Matusik is an emerging robotics researcher whose work sits at the intersection of soft robotics, robotic manipulation, and machine learning-driven control systems. Her research focuses on advancing the design and control of dexterous robotic hands, with a particular emphasis on making these systems more capable, manufacturable, and adaptable to real-world tasks. Matusik's most notable contributions include pioneering work on directly 3D-printed, pneumatically actuated soft robotic hands, which dramatically simplifies the traditionally complex multi-step manufacturing process for multi-degree-of-freedom manipulators. Her development of modular, bio-inspired robotic hands with high sensitivity further demonstrates her commitment to bridging the gap between biological dexterity and robotic capability. Perhaps most ambitiously, her recent work on inferring Jacobian fields with deep networks offers a generalizable framework for controlling diverse and morphologically complex robots — a significant step toward flexible, learned control across heterogeneous hardware. With citations accumulating across all three of her key papers, Matusik is establishing herself as a thoughtful contributor to both the hardware and software challenges of modern robotics. Her research holds particular promise for applications in human-robot collaboration, prosthetics, and adaptive automation.