Patented IIPS Software Architecture
Metis developed the Integrated Intelligent Processing System (IIPS), a patented software architecture that enables adaptive, real-time decision-making for autonomous systems. Validated through Phase 1 and Phase 2 contracts, IIPS supports applications like pilot training and autonomous transportation, providing scalable autonomy for complex missions in aerospace and urban air mobility.
Collaborative SLAM for Small UAS
Metis's A-LCMM system introduces collaborative Simultaneous Localization and Mapping (SLAM) for small unmanned aerial systems (UAS). This innovation integrates advanced sensors to enable real-time obstacle detection, mapping, and navigation, enhancing autonomy for intelligence, surveillance, and reconnaissance (ISR) operations in dynamic environments.
AI-Driven Real-Time Air Traffic Management
Through projects like UTM BVLOS RUSE and ARTS (ALFRD, UADT), Metis leverages AI and machine learning to develop autonomous air traffic management (ATM) systems. These solutions enable safe beyond visual line of sight (BVLOS) operations for UAS and eVTOL in urban airspace, optimizing navigation and collision avoidance in real time.
High-Fidelity Simulations for Autonomous Validation
Metis innovates with high-fidelity simulation environments using tools like Unreal Engine, FlightLab, and LaSRS++ for projects such as ARCTIC5 and the Vertical Motion Simulator (VMS). These simulations validate autonomous control systems for unmanned aerial combat and urban air mobility, ensuring robust performance in complex, contested scenarios.
Autonomous Navigation for Cislunar Space Missions
For missions like HelioSwarm and Starling, Metis developed advanced autonomous navigation systems for cislunar and low Earth orbit operations. By integrating multi-body gravitational models, machine learning, and tools like STK and ODTK, they enable precise, real-time trajectory planning and swarm coordination for space situational awareness and exploration.