This talk presents RF-Visual perception, a new approach for sensing, perceiving, and interacting with the physical world. Unlike classical perception approaches like computer vision, which struggle in non-line-of-sight or cluttered environments, RF-Visual perception works across line-of-sight and non-line-of-sight environments, through occlusions, and in low-lighting conditions. 

The talk will describe the fundamentals of RF-Visual perception and how I used it to design, build, and evaluate new robotics and augmented reality systems. The talk will also introduce multiple novel primitives in RF-Visual perception for various computational tasks including localization, servoing/navigation, robotic grasping, reinforcement learning, and human-computer interaction. The talk will conclude by describing how this perception technology has already been deployed in practice and how the fundamental primitives described pave the way for future full-spectrum perception with applications in mobile sensing, robotics, HCI, environmental monitoring, and more.