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About

Simone Genovesi is a researcher at the forefront of integrating radiofrequency (RF) sensing with industrial robotics. Their work centers on developing novel, low-cost wireless systems that enable precise localization and orientation detection for autonomous guided vehicles (AGVs) and robotic hands. Genovesi’s key contributions include the design of RF probes paired with passive, printed resonators—a method that allows robots to “feel” their environment before physical contact, a concept known as pre-touch sensing. This technology is critical for improving the precision of grasping non-metallic objects and for path-following navigation in industrial automation. With their most cited paper, "Radio-Frequency Guidance System for Path-Following Industrial Autonomous Guided Vehicles" (2022, 9 citations), Genovesi has laid the groundwork for more efficient and autonomous manufacturing processes. Their subsequent works, including a 2023 study on a 3D-printed RF sensing system, demonstrate a commitment to accessible, customizable hardware. By achieving up to 9 citations on early-stage, highly specialized work, Genovesi is establishing a clear impact in the niche but vital field of RF-based robotic perception, promising safer and more adaptable industrial robots.