Learning Machines: Foundation Models for Robots
New multimodal models link instructions like “fold the blue shirt” to visual perception and motor skills, grounding language in hands-on actions. They learn from demonstrations, corrections, and failures, then generalize to novel household tasks.
Learning Machines: Foundation Models for Robots
Robots now refine policies by combining reward signals with human preferences, ranking outcomes for safety and style. A quick thumbs-up or comment can nudge a behavior toward helpfulness without overfitting to one brittle trick.
Learning Machines: Foundation Models for Robots
High-fidelity simulators generate diverse experiences with randomized textures, lighting, and physics, then transfer skills to reality using calibrated cameras and robust controllers. Tell us which home task you’d want a sim-trained robot to master first.
