Ranging-Aided Ground Robot Navigation Using UWB Nodes at Unknown Locations


Abhinav Rajvanshi, Han-Pang Chiu, Alex Krasner, Mikhail Sizintsev, Glenn Murray, Supun Samarasekera, Ranging-Aided Ground Robot Navigation Using UWB Nodes at Unknown Locations, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.


Ranging information from ultra-wideband (UWB) ranging radios can be used to improve estimated navigation accuracy of a ground robot with other on-board sensors. However, all ranging-aided navigation methods demand the locations of ranging nodes to be known, which is not suitable for time-pressed situations, dynamic cluttered environments, or collaborative navigation applications. This paper describes a new ranging-aided navigation approach that does not require the locations of ranging radios. Our approach formulates relative pose constraints using ranging readings. The formulation is based on geometric relationships between each stationary ranging node and two ranging antennas on the moving robot across time. Our experiments show that estimated navigation accuracy of the ground robot is substantially enhanced with ranging information using our approach under a variety of scenarios, when ranging nodes are placed at unknown locations. We analyze and compare our performance with a traditional ranging-aided method, which requires mapping the positions of ranging nodes. We also demonstrate the applicability of our approach for collaborative navigation in large-scale unknown environments, by using ranging information from one mobile robot to improve navigation estimation of the other robot. This application does not require the installation of ranging nodes at fixed locations.

Read more from SRI