Max Robotics — Global Service Robot Directory + US Certification

About

Michael Crisp is a leading researcher in radio-frequency identification (RFID) systems, with a specific focus on high-precision indoor localization using passive UHF RFID technology. His major contributions lie in developing novel methods that combine inverse synthetic aperture radar (ISAR) and synthetic aperture radar (SAR) techniques with mobile robotic platforms to accurately locate passive tags. Crisp’s work demonstrates how reference tags with known positions can be used to estimate a robot’s trajectory, while phase and received signal strength indicator (RSSI) profiles from a moving antenna are exploited to pinpoint unknown target tags. His most-cited paper, “An ISAR-SAR Based Method for Indoor Localization Using Passive UHF RFID System With Mobile Robotic Platform” (2021), has garnered 17 citations, while a closely related 2022 paper on a phase and RSSI-based method has 16 citations. These works collectively advance the state of the art in cost-effective, infrastructure-free indoor tracking, with applications in logistics, robotics, and smart environments. Crisp’s research is notable for its practical integration of mobile robots and passive RFID, offering scalable solutions that require no additional on-tag power sources, making his contributions highly impactful for both academic and industrial audiences.