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About

Shwetak Patel is a pioneering researcher at the intersection of ubiquitous computing, human-computer interaction, and sensor systems, with a particular focus on creating sustainable, battery-free technologies. His most influential work includes the development of ID-Match, a hybrid computer vision and RFID system that enables rapid identification and localization of individuals in group settings, laying critical groundwork for personalized autonomous systems. Patel’s contributions to indoor positioning are exemplified by TrackSense, an infrastructure-free precise localization method using projected patterns. He has also pushed the boundaries of virtual reality with MoveVR, which repurposes household cleaning robots to deliver multiform force feedback, dramatically enhancing immersion without specialized hardware. Perhaps most notably, Patel led the creation of MilliMobile, the first autonomous battery-free wireless microrobot capable of sustained operation on harvested solar and RF energy—a breakthrough that challenges fundamental assumptions about the limits of battery-free actuation. With his most-cited works accumulating over 150 citations, Patel’s research consistently demonstrates how clever repurposing of everyday technologies can yield transformative advances in sensing, interaction, and autonomous systems.