Google-Roboter schlägt menschliche Tischtennis-Konkurrenten – Mithilfe einer großen Datenmenge hat Google einen Tischtennis-Roboter darauf trainiert, gegen menschliche Konkurrenten anzutreten und dabei besser zu werden.

From the article

>We’ve certainly seen quite a bit of advancement in robotics that allows humanoid machines with the performance chops to handle real world tasks including everything from [chopping ingredients for dinner](https://newatlas.com/robotics/neura-4ne1-humanoid-robot/?itm_source=newatlas&itm_medium=article-body) to [working in a BMW factory](https://newatlas.com/robotics/figure-humanoid-bmw/?itm_source=newatlas&itm_medium=article-body). But as the Google team’s quote suggests, the ability to add speed to that precision is developing a bit more, well, slowly.

>That’s why the new table-tennis-playing robot is so impressive. As you can see in the following video, in games with human competitors, the bot was able to hold its own, although it’s not quite Olympic-level yet. During 29 matches, the bot had a 45% success rate, defeating 13 players. While that’s certainly better than a lot of New Atlas writers would do against any competitor, the bot was only able to excel against beginner to intermediate players. It lost all of the matches it played against advanced players. It also didn’t have the ability to serve the ball.

When will it be winning gold medals in the Olympics?