The military invests millions of dollars into unmanned ground vehicles, and of course they would, unmanned ground vehicles (UGVs) save lives simply by removing personnel from hazardous environments. However, the price of UGVs  hover around $50,000. This places a significant constraint on the magnitude of deployable UGVs. 

Panterra’s objective is to advance the performance of military scouter vehicles  by using state of the art control and deep learning algorithms. These algorithms will exceed performance of current military scouter vehicles at a fraction of the cost. We aim to design a scouter vehicle that takes in a given GPS coordinate, navigates to its destination autonomously through various obstacles, and stores a map of the environment it has traversed for user reference. With modernizing current scouter vehicles, we can reduce the number of lives at risk on the field.