Chinese and Canadian teams have launched a “robot kindergarten” in Beijing, where robots are being encouraged to make mistakes, learn from them and try again.
The project brings together China’s Tashan Technology and a Canadian AI research team founded by reinforcement-learning pioneer Richard Sutton.
Instead of simply copying movements demonstrated by humans, the idea is to let robots learn through real-world experience — a bit like practising before heading out into a factory, warehouse or home.
The cute name hides a serious question: Can robots learn to handle the messy, unpredictable real world on their own?
