Publication

Autonomy Artificial Intelligence Robotics (AAIR)
2012

LARGE PLATFORM AUTONOMY IN URBAN ENVIRONMENTS

by Chip DiBerardino; Edward Mottern; Tracy K. van Lierop; Dariusz Mikulski; N. Joseph Kott

Abstract

This paper describes aspects of the Safe Operations of Unmanned Systems for Reconnaissance in Complex Environments (SOURCE) Army Technology Objective (ATO) that affect urban terrain autonomous mobility R&D programs. The SOURCE ATO provides essential large platform autonomous capabilities for executing unmanned reconnaissance missions, such as leader-follower, move-on-route, tele-operation, and remote situational awareness. The system includes multi-modal, high resolution, all-digital sensors which support nighttime and daytime operations. The SOURCE ATO development includes different classes of UGV vehicles as well as different classes of perception sensor technology. To date, the SOURCE ATO has successfully completed two out of three scheduled field experiments. The paper presents the latest SOURCE ATO results.