Autonomous Mobility Adv Tech
Abstract
This Project matures and demonstrates data-based Artificial Intelligence and Machine Learning (AI/ML) technologies to increase autonomy and mobility and perform teamed operations with manned and unmanned air and ground vehicles in a military relevant environment through data collection on relevant platforms. Data collection will involve both simulation and live collection. Simulation will provide a baseline to correctly collect, clean, and analyze data that meets the need for improving algorithms for both formation control and unmanned aerial vehicle map input for unmanned ground vehicle mobility, while reducing costs. Live data will start with Surrogate platforms in local areas. The Project will use AI/ML techniques to mature and demonstrate intelligent formation control to be used in complex, off-road terrain without the need for a global positioning system (GPS). Data will be collected from mounted platforms utilizing sensors to improve algorithms for relative and absolute positioning, undistributed formation control, and increased speeds of unmanned platforms. The utility of the military-relevant data will be demonstrated through a datahub which is designed specifically for robotic data types, formats and sizes. The datahub infrastructure is a unique solution to handle such ground vehicle data needs and will be able to optimize the outcome of the collected data. Also, the Project will use AI/ML techniques to optimize intelligent autonomous ground platform planning team with Unmanned Aerial Systems (UAS). Data collected from air vehicles will be converted to maneuverable information for unmanned ground platforms with the identification of obstacles, go/no-go areas, terrain classification, and optimal suggested paths. The cited research is consistent with the Under Secretary of Defense for Research and Engineering priority focus areas and the Army Modernization Strategy . Research in this Project supports the Next Generation Combat Vehicle Army Modernization Priority. Research in this Project is performed by the United States (US) Army Futures Command. Research in this Project is coordinated with Program Element (PE) 0602145A (Next Generation Combat Vehicle Technology).
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2024
- Source ID
- BK1_0603462A_3_2040_PB_2024
Related Documents
- Root: Next Generation Combat Vehicle Advanced Technology
- Child Accomplishment: Machine Learning Data Collection
- Child Accomplishment: UAS Mapping
- Child Accomplishment: Formation Control