  In this work, we propose a novel, bio-inspired multi-sensory SLAM approach
called ViTa-SLAM. Compared to other multisensory SLAM variants, this approach
allows for a seamless multi-sensory information fusion whilst naturally
interacting with the environment. The algorithm is empirically evaluated in a
simulated setting using a biomimetic robot platform called the WhiskEye. Our
results show promising performance enhancements over existing bio-inspired SLAM
approaches in terms of loop-closure detection.
