Managing Complexity in the Humanoid Robotics Ecosystem: A Systems Approach to Scalable Autonomy

This presentation examines the technical complexity of the humanoid robotics ecosystem through a systems engineering lens. It explores key challenges of distributed architectures, mixed-criticality workloads, interoperability, and edge-to-cloud data flows, while also considering how proven automotive and industrial technologies can be adapted for this fast-evolving application space. 

The session highlights practical approaches to simplify development, including modular designs, standard interfaces, and enhanced coordination between control, sensing, and communication domains.