TechCrunch reported that Encord is working with Zander Labs to test a new physical-AI data pipeline: capturing first-person video and brain-wave signals while humans perform manipulation tasks.
This is not about “mind-controlled robots.”
The goal is to make training data more informative. Brain signals could help mark intent, error, surprise or cognitive load — context that video alone may miss.
Encord’s broader physical-AI data stack also includes in-field collection, teleoperation, multi-sensor data, annotation and deployment feedback.
Robots need structured examples of hands, tools, objects, motion, timing and failure cases to learn the physical world.