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About

Arpit Agarwal is a leading researcher in the field of robotic tactile sensing, with a focus on vision-based tactile sensors and their simulation. His work centers on developing high-resolution, compact, and inexpensive tactile sensing solutions for precise in-hand manipulation and human-robot interaction. Agarwal’s major contributions include pioneering the simulation of vision-based tactile sensors using physics-based rendering, a breakthrough that enables realistic sim-to-real transfer for tactile-based manipulation tasks. His research on improving grasp stability through rotation measurement from tactile sensing has garnered 39 citations, while his work on grasp stability prediction with sim-to-real transfer has been cited 29 times. Agarwal has also advanced the design of tactile sensors, including the development of PneuGelSight, a soft robotic vision-based proprioception and tactile sensing system, and a modularized design approach for the GelSight family of sensors. His work on robotic defect inspection for large-scale components, with 12 citations, demonstrates the industrial applicability of his research. With over 140 total citations, Agarwal’s contributions are shaping the future of tactile sensing in robotics, enabling more dexterous and reliable manipulation in both industrial and human-interactive settings.