Concept Prototyping
Abstract
This effort funds innovative technology across the RCCTO portfolio. RCCTO hosts semi-annual industry days where industry competes to propose the most innovative projects to leaders across the Army, including the Program Executive Officers, Army Futures Command's Cross Functional Team Directors and Research and Development Center Directors, and other subject matter experts. This panel selects the most impactful projects to be prioritized for the RCCTO Board of Directors will provide directed efforts. Efforts are initiated by Army stakeholders to fill critical capability gaps in the areas of artificial intelligence, machine learning, resilient and open standard communications, advanced network operation tools, counter unmanned aerial systems, unmanned aerial and terrestrial sensors, advanced ground vehicle enhancements, ground vehicle hybrid electrification, advanced energy efficient battery technologies, ruggedized and resilient power electronics, advanced low size, weight, and power (SWaP) energy generation and storage systems, advanced manned/unmanned aerial systems, advanced manned/unmanned ground systems, weapon system cyber resiliency, advanced defensive and offensive cyber, quantum computing, quantum sensing, assured position, navigation, and timing (APNT), security orchestration and automated response, multi-domain command and control (C2), electronic warfare, autonomy & robotics, soldier borne sensors and capabilities, edge processing technologies, information processing, exploitation and dissemination (PED) tools, resilient water support and safety monitoring capabilities, sensor to shooter capabilities and modeling and simulations in support of these domain areas. These efforts provide the Army initial operational capability for future integration into a program of record and include market research, technology analysis, project planning and development, prototyping and testing requirements.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2023
- Source ID
- c39f71b03ac24ef651a2ffd0d5cb990f