Paper ID: 2209.03693

ExplORB-SLAM: Active Visual SLAM Exploiting the Pose-graph Topology

Julio A. Placed, Juan J. Gómez Rodríguez, Juan D. Tardós, José A. Castellanos

Deploying autonomous robots capable of exploring unknown environments has long been a topic of great relevance to the robotics community. In this work, we take a further step in that direction by presenting an open-source active visual SLAM framework that leverages the accuracy of a state-of-the-art graph-SLAM system and takes advantage of the fast utility computation that exploiting the structure of the underlying pose-graph offers. Through careful estimation of a posteriori weighted pose-graphs, D-optimal decision-making is achieved online with the objective of improving localization and mapping uncertainties as exploration occurs.

Submitted: Sep 8, 2022