Embodied artificial intelligence connects perception, reasoning and action in a body such as a robot. The system receives sensor information, decides what to do and experiences the consequences of movement, which creates different challenges from a model that only processes text or images.
Useful embodied systems need spatial understanding, control, memory and adaptation as well as physical reliability. Mistakes can affect people and objects directly, so testing, force limits, secure software and fail-safe behavior are essential parts of deployment.
