A new study from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) demonstrates a significant advancement in AI-powered robotics. Researchers have developed a system that allows robots to perform complex, dexterous manipulation tasks—like assembling a chair or cooking a meal—by learning from a relatively small number of human demonstrations. The system, which combines computer vision with advanced machine learning models, enables robots to understand and generalize tasks to new, unseen environments, moving beyond simple, repetitive factory work. This breakthrough points toward a future where robots could assist in homes, hospitals, and other dynamic settings, though significant challenges in safety, reliability, and cost remain before widespread adoption. Read the full article at https://technologyreview.com/2024/03/15/robots-learn-from-few-demos.