Robotics concerns machines that sense physical surroundings, compute about them, and act through movement or control. Modern systems increasingly combine artificial intelligence with perception, language understanding, and motor planning. section 8.8
AI-enabled robotics is being applied across several physical settings:
- Manufacturing systems coordinate design, planning, production, and maintenance; natural-language assistants can help diagnose equipment problems and reduce downtime. section 8.8
- Robot arms and mobile platforms can interpret open-ended instructions, such as moving a specified object, by combining perception with executable motion plans. section 8.8
- Autonomous vehicles use layered responsibilities for perception, prediction, planning, and execution, while conversational robots explore richer human-machine interaction. section 8.8
A growing direction uses multimodal foundation models trained on spatial, temporal, and physical interactions. These systems aim to support more general behavior by representing causality, affordances, and physical dynamics, but many demonstrations remain exploratory or proof-of-concept. As robotics enters homes, workplaces, and public environments, questions about human oversight, control, responsibility, trust, and economic disruption become as important as technical capability. section 8.8 section 10.5
