Google DeepMind develops a table tennis playing robot [Video]

Google DeepMind develops a table tennis playing robot Video


Working on artificial intelligence Google DeepMind This time, researchers have developed a robot that plays table tennis. developed.

Able to beat some amateur players in table tennis Google DeepMind researchers’ new robot is powered by artificial intelligence and can detect the appropriate position in a very short time and shoot. The robot, which is built on a large rail and robotic arm, cannot yet move extremely fast. DeepMind researchers made a statement on this subject and stated the following:“Robotic table tennis has served as a benchmark for this type of research since the 1980s. A robot in this field must be good at low-level skills, such as returning a ball, as well as high-level skills, such as strategizing and long-term planning to reach a goal.” In addition to these, “We designed the system to adapt by monitoring the opponent’s behavior and style of play” researchers said, Here The video that we can watch shows that the robot cannot yet respond to high-speed shots. These types of experimental robotics research projects make significant contributions to the development process of “truly” functional robots that are desired to be a part of our lives.

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Google DeepMind, Previously, it had made a splash with a system that produced music and dialogue for videos. The system, which DeepMind researchers call V2A, is still in the development phase. DeepMind researchers stated that systems that can produce videos from written content are developing rapidly, but they can only provide silent content. It also wants to support audio output with V2A.

V2A technology that produces sound/music/dialogue with written commands, can analyze videos And It is also stated that it can synchronize the produced sounds with the video without any explanation.The model, which differs from all its competitors in this very important respect, will not be available for public use in the near future, according to DeepMind’s statement.



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