SEMANTIC SLAM

We work on novel approaches to SLAM (Simultaneous Localization and Mapping) that create semantically meaningful maps by combining geometric and semantic information... We believe such semantically enriched maps will help robots understand our complex world and will ultimately increase the range and sophistication of interactions that robots can have in domestic and industrial deployment scenarios... Our team of researchers is part of the Australian Centre for Robotic Vision and based at Queensland University of Technology in Brisbane, Australia.