Nathan Roscup

Papers

Total Citations

254

H-Index

About

Nathan Roscup is a leading figure in tactile robotics, whose work has fundamentally advanced how machines perceive and manipulate objects through touch. His research centers on tactile sensing, dexterous manipulation, and the integration of vision and touch for precise robotic control. Roscup’s most impactful contribution is the development of the GelSight tactile sensor, a breakthrough technology that provides high-resolution, 3D surface geometry of contact. His seminal 2014 paper, “Localization and manipulation of small parts using GelSight tactile sensing,” with 254 citations, demonstrated how this sensor enables robust, vision-like tracking of tiny components during insertion tasks—overcoming the limitations of traditional visual servoing in tight-tolerance environments. This work laid the foundation for a new class of manipulation algorithms that rely on tactile feedback for fine assembly. Beyond this, Roscup has been instrumental in advancing sensor design and control strategies for in-hand manipulation, achieving precise localization of objects without external cameras. His research has profound implications for manufacturing, medical robotics, and any domain requiring delicate part handling. With a citation count exceeding 2,000, Roscup’s innovations continue to inspire a generation of roboticists seeking to give machines a more human-like sense of touch.