USSOCOM RFI TE 25-2 Collaborative Autonomy Integration

Background
The United States Special Operations Command (USSOCOM) is seeking innovative technologies to enhance the integration of Collaborative Autonomy systems. The goal of this initiative is to develop autonomous systems and Artificial Intelligence (AI) technologies that can collaborate effectively to perform tactical tasks in joint and combined operating environments, thereby providing a superior decision advantage.

This request for information (RFI) aims to explore technologies that support the integration of Collaborative Autonomy, as defined by DoD Directive 3000.09 on Autonomy in Weapon Systems.

Work Details
The tasks and services required under this contract include:
1. Collaborative Autonomous Systems:
- Multiagent Coordination: Decentralized decision-making frameworks for autonomous agents to collaborate without central control, distributed task allocation, and self-organizing systems for communication and synchronization in denied environments.
- Swarm Intelligence: Development of swarming algorithms for effective collaboration in missions, fault tolerance mechanisms, cooperative formation control, and performance capabilities with more than 10 platforms.
- Machine Learning for Autonomous Behavior: Implementation of real-time learning systems, reinforcement learning algorithms, predictive analytics, and open-source computer vision software for various applications including detection, classification, and identity recognition.
2. Human Autonomy Collaboration:
- Autonomous Decision Support Systems: AI-driven decision aids for real-time support to human operators, intuitive human-machine interfaces including AR and voice commands, and adaptive autonomy allowing dynamic adjustment of control levels based on situational needs.
- Trust and Transparency in Autonomy: Cognitive modeling of trust to predict human trust in autonomous systems.
- Shared Situational Awareness: Real-time data sharing between human operators and autonomous systems.

Place of Performance
The geographic location(s) for the performance of this contract have not been explicitly provided.