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fleet-management

Trionyx is a multi-agent robotics fleet intelligence platform that coordinates autonomous robots through a shared world model, dynamic task graphs, and real-time scheduling. It focuses on distributed decision-making, simulation-first validation, and adaptive optimization to manage complex warehouse and industrial operations.

The AI and the Automobile collection brings together multiple specifications that define how AI integrates into modern vehicle systems, treating the automobile as a software-defined platform where intelligence spans perception, control, navigation, and energy management. It emphasizes real-time performance, safety-critical architecture, and the transition from purely mechanical systems to continuously evolving software-driven mobility. Across the collection, the specs also describe how automotive AI should be built through open and interoperable systems with strong safety practices, including simulation, validation pipelines, and human-in-the-loop oversight to handle edge cases. Together, they frame vehicle intelligence as a layered system combining autonomy, redundancy, diagnostics, and secure update mechanisms to enable reliable and scalable deployment.

Robot management system designed with a focus on flexibility and security

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