A humanoid robot has shown off its marvellous ability to perform Kung Fu-style moves.
The G1 humanoid robot moves just like Jackie Chan in a video which has 420,000 views.
In the clip, the droid combats with a man holding a wooden stick and slowly moves forward towards him, performing movements with its arms.
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It then can be seen doing a 720-degree spinning kick, as it sticks out its leg and knocks the wooden stick out of the man’s hands.
The clever move, which is Bruce Lee’s signature action, was taught to the humanoid so that it could learn Kung Fu.
It is unclear if the footage – shared by creators, Yushu Technology, also known as Unitress Robotics – is computer or AI-generated.
The creators of the G1 humanoid robot, Yushu Technology, who are also known as Unitree Robotics, shared the video this week.
They highlighted that the footage had not been sped up or edited in any way and that people should not try to recreate this with a robot and keep a safe distance.
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In a previous video shared on 25 February, which attracted almost two million views, Unitree revealed that they have continued to update the robot’s algorithm.
The video shows the robot performing Kung Fu moves in a street, including the infamous 720-degree spinning kick.
Unitree revealed that it can just about learn and perform any movement, as reported by What’s The Jam.
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“We have continued to upgrade the Unitree G1’s algorithm, enabling it to learn and perform virtually any movement,” a spokesperson for the company, which is based in Hangzhou, China, said.
The G1 robot was showcased at the Spring Festival Gala which took place in China at the end of January this year.
It has a running speed of two metres per second, weighs less than 50kg, and is around 127cm tall.
G1 relies on a 36-degree LiDAR system so that it can assess its environment, allowing it to function as needed.
Powered by a 13-string lithium rechargeable battery, it can operate on a battery life of around two hours.
It has the ability to sit down, stand up, jump, and fold, with Unitree constantly working to further evolve the robot.
Through in-depth reinforcement learning and simulation training, they are able to further develop G1’s ability for the future.
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