Mention AI and robots to most people and they’ll typically think of end-of-world scenarios, involving lasers and glowing red eyes. Not so Google DeepMind who’ve made a big step forward in robotic AI technology by training a system to beat the average person at table tennis, rather than the global eradication of humanity.
Footage of the robot in action was posted on X by Google DeepMind and as someone who has some experience of programming robot arms, albeit in a limited manufacturing engineering capacity, I was really impressed by what I saw, and the study’s research paper is well worth reading.
It’s more than just a camera keeping track of the ball and then motors wildly swinging a paddle about. To start things off, Google DeepMind built a database of all the initial states a table tennis ball could have, such as position, speed and spin. From here, the robot arm just practised various movements, getting used to switching between fore- and backhand grips, applying topspin, and so on.
Then it was pitched against real players, with the AI system designed so that would monitor how different people would behave and play, and use that information to refine the ov…