Sony has showcased its table tennis robot, ‘Ace’, releasing interesting photos of itself competing against a professional player.
During project testing, the robot used networks of cameras and AI to perform complex, real-time interactive tasks with accurate predictions, marking a major advance in the field.
According to the researchers, the robot learned through reinforcement learning rather than fixed programming.
Tested on a full-size court in Tokyo and described in the journal NatureAce has a unique belief system. The results underscore the rapid progress of AI, as table tennis has long been seen as a sought-after benchmark for robotics.
Unlike humanoid robots, which mimic the human body with a torso, limbs and arms, ACE relies on an autonomous eight-pair robotic arm mounted on a mobile base.
Jan Peters, professor of intelligent autonomous systems at the Technical University of Darmstadt in Germany and an expert on table tennis robots, described the project as “really impressive.”
Recent advances in this field require solving important problems in robotics, particularly how machines handle and manipulate complex objects.
“To be useful to the general public, it requires a lot of good old-fashioned engineering,” Mr Peters said.
“There will be a moment in the next decade that will change the world as much as ChatGPT did in 2022. That moment may be closer to now than 2036.”
The recent discovery underlines the importance of its ability to read the logo on the ball to measure spin within a second.
It is worth noting that its physical reach and speed are compared to human levels. At levels, it comes across as incredible because of its stability and foresight.
