Mapping is essential for mobile robots and a cornerstone of many more robotics applications that require a robot to interact with its physical environment. It is widely considered the most difficult perceptual problem in robotics, both from an algorithmic but also from a computational perspective. Mapping essentially requires solving a huge optimization problem over a large amount of images and their extracted features. This requires beefy computers and high-end graphics cards – resulting in power-hungry and expensive robots.
In the video below Master student Vlad Usenko shows how robots can sidestep this problem.