I wouldn't think that a legal serve should confuse the robot. In order to operate at all it needs to know the ball's location in space as well the "field" (i.e., its side of the table). Not sure that it would be able to keep score, but I would think it would be relatively simple to discount any bounces on the far side of the net, considering everything else it is work off of.
Good point, Scott. Just as chess robots learned, these robots will learn. Twenty years ago, chess robots couldn't come close to beating master chess players.
I agree, Redding. The woman's serve is illegal. I have a feeling that a legal serve -- bouncing the ball on both sides of the net -- would confuse the robot.
This was pretty fun to watch as the robot learned and got better. I'm sure somebody will eventually figure out a useful application for this one-armed pongster even if it's only for ping pong training camps. Maybe it can be used to toss packs of peanuts into the stands during a ball game?
Good point about human verses bot reaction time - it reminded me of Data when he was tempted by the Borg Queen's offer to join her in First Contact - Captain Picard asked him how long he considered it and Data replied, "0.68 seconds sir. For an android, that is nearly an eternity."
I agree Charles, I sure want to hit the ball to that far right corner! Also, is it just me or is the Woman making an illegal serve? The ball has to hit your own side first when serving right?
Just like an Engineer to nitpik the details right? This is why my wife doesn't enjoy watching movies with me. :-)
Regardless this thing is totally cool and I would love to have one!
Nice article, Elizabeth. I especially like the video. It seems were seeing more and more versions of humans against the machine. I love the fact that it learns. However, Chuck makes a good point about the backhand.
This is pretty amazing to see the robot learn how to play over time. At the Robot display at the Carnegie Science Center in Pittsburgh, they have a robot setup to play air hockey. The robot used vision to analyze the table then would only go on an offensive shot when it saw that there was a clear angle to the goal. At all other times, it stayed on defense. The robot did a pretty good job and won most of its matches.
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