The robotics industry has a consensus problem. Nearly every startup and major research lab training robots to handle objects has converged on the same method: ...

Hospitals trumpet robotic surgery as innovation. Surgeons market it as progress. Manufacturers insist the technology is safe. But when things go wrong, everyone insists it was someone else’s fault.

When companies focus on practical, user-centered implementation, AI can stop being an experiment and start having a real impact.

As enterprises race to deploy agentic AI, a new fault line is emerging. The risk is no longer model accuracy, but whether organisations can actually run autonomy safely, predictably, and at scale.

A few short months ago, almost every robot made by the hundreds of companies working on humanoid robots could charitably be described as slow, topping out at around three mph. Walking was on the edge ...