These robots learn boxing and piano by observing 40 hours of human movement data

Researchers created a humanoid robot that can not only mimic human activities but also learn from them simply by shadowing their movements. Stanford University researchers created a robot named 'HumanPlus'. The team claims that by seeing human actions, it can learn to play the piano, return a ping-pong ball, and perform other tasks. 

What system does this robot use? 

The humanoid robot uses a single RGB camera and a whole-body strategy | Image: YouTube

According to Zipeng Fu, a member of the Stanford team, the humanoid robot uses a single RGB camera and a whole-body strategy to mimic human mobility.

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According to the researchers, HumanPlus requires 40 hours of human movement data to learn and do a task step by step. Furthermore, it can shadow persons with its camera and subsequently replicate their activities in real-time. 

Who was used as the foundation of this robot? 

The humanoid was made using Unitree's H1 robot as the foundation | Image: YouTube

The humanoid was made using Unitree's H1 robot as the foundation, with hands from Inspire-Robots and wrists from another business. The final specimen stands 5 feet 9 inches tall.

Another distinguishing feature of the robot is that its design is open source, which allows its functionality to be updated as needed in the future.

How can you develop a similar model? 

The researchers have also made a GitHub repository available for anyone who wants to develop a similar model on their own. The Stanford researchers have also published pricing information for the various parts utilized in HumanPlus.

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However, getting a working model like HumanPlus is not cheap; according to the team's initial estimations, they developed the robot for around $ 107,945.

However, given the number of movements it can mimic and carry out, it is likely to be one of the most affordable alternatives on the market right now. 

Check the video here.

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