Omron’s table tennis robot gets machine learning smarts - featherlansider
Omron's table tennis robot is getting smarter. At this calendar week's Ceatec electronics usher in Japanese Archipelago, the company has unveiled a newfound version that uses machine learning to assess the strength of an opponent and ramp up its game accordingly.
The robot, titled Forpheus, was first shown at the event in 2014 to impressive reviews. A serial publication of robotic blazonry rig a table tennis bat, guided by cameras that watch the ball and predict where it's exit to land.
Omron developed the robot to promote the company's sensing element technology and this latest rendering is showing off more or less of what can be done when sensing combines with machine learning and artificial news.
As presently As a human player serves a ball, the robot begins higher-ranking the role player according to their detected skill as a beginner, mediate instrumentalist or front.
Information technology looks at the speed of the served eg, its flight, rotation and the body motion of the player to determine this, and does indeed with 90 percent accuracy, accordant to Omron.
The motorcar uses that info to customize its return ball, softer and easy for beginners, faster and more unpredictable for advanced players.
The utilization of artificial intelligence has likewise improved the robot's game. Its returns are now accurate to within 5 centimeters — twice as accurate as the previous model.
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Martyn Williams produces engineering news and merchandise reviews in text and video recording for PC World, Macworld, and TechHive from his abode outside Washington D.C.. He previously worked for IDG News Service as a correspondent in San Francisco and Tokyo and has reported on technology news from across Asia and EU.
Source: https://www.pcworld.com/article/410619/omrons-table-tennis-robot-gets-machine-learning-smarts.html
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