Artificial Intelligence (AI)

Artificial intelligence now drives every layer of humanoid robotics from vision and language to manipulation and planning. Early systems ran on hand-coded rules. Today’s robots learn from multimodal data, simulate before acting, and generalize far beyond their training sets.

The most advanced models unify perception, language, and motor control into end-to-end policies, turning abstract prompts into grounded action. These systems don’t just perform tasks, they infer what the task is, decide how to do it, and adapt when it changes.

The focus is shifting from narrow skillsets to generalization: training models that transfer across tools, environments, and even robot types. 

The Open X-Embodiment dataset trains AI across 22 robot types uniting tasks like grasping, folding, and drawer-opening into a single, generalizable control system. Source: Open X-Embodiment: Robotic Learning Datasets and RT-X Models