Chinese manufacturer Unitree Robotics has once again captured global attention with its humanoid robot, which now demonstrates faster, more fluid kungfu movements, as well as acrobatic spins and perfectly balanced flips, all according to the company, without video acceleration or digital manipulation.

In the 44-second video posted on its official Unitree Robotics channel, G1 exhibits an agility that few human athletes could match. The video titled Kungfu Kid V6.0 exceeds 1.2 million views and shows the humanoid in a dark room executing a sequence of blows and acrobatics with an almost organic fluidity.

Start with a high kick, twist your trunk to maintain balance, apply quick sweeps, even perform backflips, landing softly. Most impressively, the robot uses real human postures to stabilize the body, supporting itself with its hands and adjusting its center of gravity in real time.

A feat that requires extremely advanced motor control and highly refined spatial perception algorithms. The G1 was designed to learn and imitate human movement naturally, combining strength, vision and balance sensors distributed throughout the body. Each stunt is the result of a complex feedback system in milliseconds, where the robot calculates continuous micro corrections to avoid losing posture.

This ability places it among the most advanced humanoids in the world, directly competing with projects such as Tesla's Optimus and Figure II from the American startup Figure AI, however, not all viewers were impressed with the spectacle.

Many began to question what is the practical use of a kungFu robot if it cannot, for example, take a container from the refrigerator or fold clothes, tasks that other humanoids can already perform. Unitree, however, clarified that the G1 is not intended for home use, but rather for AI research in advanced robotics, serving as an open platform for universities and technological institutes with an approximate cost of $21,000.

The G1 is a development tool that symbolizes the advance of Chinese robotics in the search for increasingly realistic human mechanics, it represents an intermediate step, not the robot that we will have at home, but one that will teach the next generations of machines to move, react and learn like us.