Robot Navigation Using Ultra-Wideband Radio
Ultra-wideband (UWB) radios technology is capable of generating distance measurements between a pair of transceivers with approximately 10 cm of standard deviation. UWB is inexpensive, lightweight, and can be simultaneously used as a data transfer medium, thus making it particularly attractive for small, mobile robots. UWB can enable both absolute and relative robot navigation, a prerequisite for a variety of multi-robot tasks that require collaboration, such as maintaining a formation or collaboratively exploring a space. This talk will present an overview of recent developments in UWB-based robot navigation. In particular, the use of directional coordinates, as well as the use of multiple UWB transceivers enabling relative position and attitude estimation, will be discussed.
Speaker Bio

Dr. Forbes is a Member of the Centre for Intelligent Machines, a Member of the Group for Research in Decision Analysis, a Member of the Centre de Recherches Mathématiques, a Member of the Trottier Institute for Sustainability in Engineering and Design, and an Associate Academic Member of Mila. He was the recipient of the McGill Association of Mechanical Engineers Professor of the Year Award in 2016, the Engineering Class of 1944 Outstanding Teaching Award in 2018, the Carrie M. Derick Award for Graduate Supervision and Teaching in 2020, and the Samuel and Ida Fromson Outstanding Teaching Award in Engineering in 2024. He is currently a Senior Editor for the International Journal of Robotics Research (IJRR).