BrainCo unveils EEG headset that lets humans control robots with thoughts

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A new 'brain-to-robot' interface has been unveiled in China

It uses non-invasive EEG technology

The system will supply much-needed real-world AI training data

We're seeing brain-computer interfaces (BCI) continue to get more advanced and more practical , and Chinese company BrainCo has now announced another first: a BCI that enables robots to be controlled by thoughts.

As reported by the South China Morning Post , BrainCo says the system works through EEG (electroencephalogram) headsets worn by human operators, which translate neural activity into instructions for robots to follow.

Like other similar 'mind reading' devices, it's based on vast amounts of training data that associate specific neuron activity with specific commands as they're imagined in the brain. AI algorithms then manage the job of finding the right action for the right thought.

It's called the Brain-Controlled Robot AI Platform, and it was unveiled at the World Artificial Intelligence Conference (WAIC) in Shanghai —the biggest and most important AI tech event on the calendar in China.

Think it into reality

You might soon not even need to talk to a robot to get it working (Image credit: Shutterstock) BrainCo says that as well as being used to control robots, the system can also act as an interface to connect to robotic arms and other devices. A robotic arm could be instructed to pick up a cup through thoughts alone, for example.

As the Brain-Controlled Robot AI Platform becomes more widely used, it will also be collecting data — data that can then be applied to refine the underlying algorithms further. High-quality training data is currently one of the major bottlenecks in the industry.

"The embodied AI industry has made remarkable progress on what robots can do on their own," said Nyx He, a partner and senior vice-president at BrainCo. "We believe the next decisive frontier is about how robots understand the humans they work with."

With AI models continuing to get smarter and more sophisticated, this is going to feed into the 'physical AI' of robotics — giving these machines greater flexibility, more dexterity , and as we've seen here, thought-controlled inputs.