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About

Fadel Adib is a pioneering researcher at the intersection of robotics, wireless sensing, and artificial intelligence, whose work is redefining how machines perceive and interact with the physical world. His core research areas include RF-based perception, backscatter localization, and battery-free wireless imaging, with a focus on enabling robots to operate in environments where traditional vision fails. Adib’s major contributions include the development of RFusion and RF-Grasp, systems that allow robotic arms to locate and grasp fully-occluded objects using radio frequency signals, overcoming the line-of-sight limitations of cameras. His landmark paper "RF-compass" (191 citations) introduced a method for robots to identify object orientation with centimeter-scale accuracy, while "Battery-free wireless imaging of underwater environments" (81 citations) opened new frontiers for marine exploration. Adib’s work has been recognized with prestigious awards, including an NSF CAREER Award and an MIT TR35 Innovator Under 35 honor. His systems, such as 3D-BLUE for underwater localization and FuseBot for mechanical search, demonstrate a consistent drive to merge RF perception with robotic manipulation, achieving high accuracy and efficiency in cluttered, non-line-of-sight settings.