Insect Inspired View Based Navigation Exploiting Temporal Information

Visual navigation is a key capability for robots. There is a family of insect-inspired algorithms that use panoramic images encountered during a training route to derive directional information from regions around the training route and thus subsequently visually navigate. As these algorithms do not incorporate information about the temporal order of training images, we describe one way this could be done to highlight this information’s utility. We benchmark our algorithms in a simulation of a real world environment and show that incorporating temporal information improves performance and reduces algorithmic complexity.