Early tasks will have these robots sorting trash. In practice a tough job, with vision and other sensory aspects. Learning also means adapting, so the hardest thing might be to adapt to a changing stream. Adapting is a form of maintenance, and every ML project I have worked has under designed that part of the problem. So looking forward to more from this effort.
Alphabet X’s “Everyday Robot” project is making machines that learn as they go in Technology Review
The news: Alphabet X, the company’s early research and development division, has unveiled the Everyday Robot project, whose aim is to develop a “general-purpose learning robot.” The idea is to equip robots with cameras and complex machine-learning software, letting them observe the world around them and learn from it without needing to be taught every potential situation they may encounter. .... "
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