Edge Computing

Edge computing means processing data locally (on the robot) rather than in the cloud. For humanoids, this isn’t just about speed, but also about safety.

Walking, grasping, and reacting all require low-latency control loops. Cloud AI can help with planning and language, but real-time functions like sensor fusion, motor control, and fall recovery must run onboard.While many systems still offload high-level tasks, new research shows transformer-based inference, gaze control, and state estimation running directly at the edge, some at 30Hz or more. Many systems now split workloads across onboard and cloud computing to balance latency and power draw. As model compression and chip design evolve, foundation-model behavior is inching closer to real-time embodiment.