Autonomy and Artificial Intelligence Test
Abstract
The AAIT project continued test technology development supporting the near term challenges identified in the 2013–2038 DoD Unmanned Systems Integrated Roadmap, such as, integrating DoD unmanned systems within the National Airspace and safely operating unmanned aerial systems within the Major Range and Test Facility Bases (MRTFB). The AAIT project collaborated with the Autonomy Community of Interest (COI) Test and Evaluation, Verification and Validation (TEVV) Working Group to ensure that the AAIT project is investing in technologies relevant to the future of autonomous systems. The AAIT project explored technologies required for T&E of emerging UAS architectures, functional components, and interfaces. The AAIT project emphasized autonomy test technologies that can be integrated for use in a Test and Training Enabling Architecture (TENA) environment within the MRTFB. The AAIT project continued investments in robustness testing technology to detect and predict vulnerabilities and failures within UAS software. The AAIT project transitioned developments to automatically predict test vehicle collision potentials and cue test range controllers to take corrective action. These technologies prevent the test vehicle from violating flight envelopes, range boundaries, and warning areas. The AAIT project completed an effort to develop a software tool that will enable testers to monitor the internal autonomous processing states of a system under test without interfering with its operations or requiring modification to the system’s software or hardware. The AAIT project completed efforts that rapidly identify challenging test scenarios for an undersea unmanned vehicle (UUV) under test. The effort identified performance boundaries for autonomy as they relate to the environment, mission, and vehicle state spaces; this technology transitioned to the Naval Undersea Warfare Center-Keyport. The AAIT project continued development of technology to address the T&E of ground and air autonomy using optimization algorithms to rapidly generate salient test scenarios. Expansion to the ground domain continued with the integration of AAIT technology into the Autonomous Ground Resupply (AGR) autonomy within the Autonomous Navigation Virtual Environment Laboratory (ANVEL) simulation. The integrated autonomy simulation will be used to validate AAIT technologies in the ground domain. New architecture and state space designs better support multiple domains of autonomy testing. Unmanned Ground Vehicle and Undersea Vehicle domains test technology development will risk reduce CTEIP autonomous test capability development efforts.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2021
- Source ID
- f58e286a63ddef1a5c2200d113b8387c