Max Robotics — Global Service Robot Directory + US Certification

About

Matt Reynolds is a pioneer in the intersection of robotics, radio-frequency identification (RFID), and wireless power, whose work has fundamentally reshaped how robots perceive and interact with their environments. His key research areas include sensor fusion, autonomous mobile manipulation, and pervasive automation. Reynolds’ major contribution is the development of "RF Vision," a novel perception mode that uses passive UHF RFID tags—battery-free, inexpensive stickers—to create spatial images from received signal strength indicators (RSSI). This breakthrough, detailed in his most-cited paper (53 citations), enables mobile robots to locate and grasp tagged objects from across a room, bridging the gap between digital identification and physical interaction. He further advanced the field by introducing probabilistic methods for tag pose estimation using multipath RF models (34 citations) and by creating power surface systems that wirelessly charge and communicate with entire robot swarms (42 citations), enabling continuous, battery-less operation. Reynolds also pioneered the concept of PPS-Tags (Physical, Perceptual, and Semantic Tags), integrating physical markers with semantic databases to guide autonomous manipulation. With over 180 cumulative citations, his work has laid the groundwork for robust, real-world robotic applications in logistics, manufacturing, and smart environments, making him a leading figure in RFID-guided robotics and pervasive automation.