As AI robots are showing competence in human activities such as dancing, running half marathons and delivering hotel room service, scientists are developing more complicated algorithms supported by enormous databases in a bid to enable the machines to think like humans. In 2021, Tesla CEO Elon Musk made an ambitious plan to create humanoid robots transplanted with the same chips that command autonomous driving. In 2023, Google’s Robotics Transformer-2 was able to reason before taking orders. In China and Japan, robots are designed to work independently in supermarkets or homes. Meanwhile, the ElliQ 3 desktop robot developed in Israel is able to discuss the meaning of life. However, advancing robot intelligence requires huge data collection which equates to 33.2 million books, as without enough data storage, robots cannot adapt to different scenarios in life. Scientists have pointed out there is still a long way to go before humanoid robots are as intelligent as their creators.
Old Version
