Embedding

A dense, learned vector representation of a discrete entity (word, token, object class) in a continuous vector space. Embeddings capture semantic relationships — similar entities have similar embeddings. In robotics, embeddings represent: language instructions (sentence embeddings), visual concepts (CLIP embeddings), task identifiers, and robot actions (in discretized action spaces).