Are brain waves the next unlock for physical AI?
Startups like Encord and Zander Labs are experimenting with brain-wave sensors to improve the training data for physical AI and robotics. By measuring human mental states like intent and surprise, researchers hope to overcome the scarcity of high-quality physical training data for humanoid robots.
Why it matters
Advancements in training data acquisition could significantly accelerate the development and deployment of autonomous robotics.
The frontier of physical AI is a Jenga game in a warehouse in San Leandro, California.
That warehouse is occupied by Encord , a company that builds data tooling used to train AI models. Andrew Ceja is a pilot—the company’s term for its robotic trainers—and he’s carefully pulling wooden blocks from a tottering tower while wearing a headset with a camera that tracks what he sees. That alone is fairly common for collecting robot training data, but this headset includes sensors that measure his brain waves as he carefully disassembles the block tower.
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