Technical Session

Autonomy, Artificial Intelligence & Robotics (AAIR)

Autonomy, Artificial Intelligence, and Robotics (AAIR) are significant parts of the Next Generation Combat Vehicle (NGCV) effort, which is one of the U.S. Army’s Modernization Strategy’s top priorities. The critical question for AAIR regarding the U.S. Army missions remains: can a robotic combat vehicle be more effective than a manned vehicle against near-peer threat?

There are still a number of fundamental research and technology gaps that prevent AAIR from being fully-deployed today. These gaps are related to: how “big data” is leveraged, how efficient algorithms are built for deployment, how increased system complexity is managed, and how environmental uncertainty is reduced. Solutions to gaps will need to draw from several overlapping specialties in various fields of open research, such as self-driving cars in the commercial automotive industry. As a result, areas of interest for the AAIR Technical Session include, but are not limited to, the following:


  • Sensor Fusion, Localization, and World Modeling
  • Behavior and Trajectory Planning
  • Motion Control Algorithms
  • Object Detection, Tracking, and Avoidance
  • On-Road/Off-Road Navigation
  • Autonomy Algorithm Simulation and Testing


  • Learning-Enabled Components
  • Terrain Traversability Classification
  • GPS-Denied Localization
  • Automated Target and Threat Recognition
  • Vehicle and Driver Health Monitoring
  • Emergency Maneuvers
  • Formation Control
  • Decision Aids and Recommendation Systems


  • Novel Platforms, Payloads, Actuators, and Sensors
  • Connected Vehicle, Robot Architectures and Networks
  • Human-Robot Interfaces and Teaming
  • Driver, Passenger and Operator Safety and Security
  • Data Acquisition Methods and Management
  • High Assurance Development Operations (DevOps)
  • Technology Research, Transfer, and Deployment
  • Hardware and Software Resiliency, Reliability, and Robustness
  • Hybrid Systems and Mixed UXV Missions