Robots are getting better at seeing people. They can track a worker in a warehouse aisle, recognise a visitor at a reception desk, match a face to a delivery ticket, or pull up a profile of a customer before a sales rep walks into the meeting.
A growing number of automation systems also reach beyond the camera feed. They query language models to enrich what they see with context: who this person is, what they do, where they have appeared online, and whether their public footprint matches the record on file.
This shift is part of a wider pattern that Robotics & Automation News has described as robotics becoming a branch of artificial intelligence rather than a separate engineering discipline. [Read more…] about Hallucinated humans: The identity problem hiding in your AI stack









