Most people think robot training means letting AI figure everything out by itself. That’s not how learning works. With Axis Robotics, humans can actually take control of a simulated robot, perform the task, and create a trajectory the policy can learn from. Even after training, when the robot makes a mistake, you can take over, correct the movement, and hand control back. That correction is valuable data. It teaches the next policy what the previous one couldn’t do. This creates a powerful loop: Human control, robot learns, robot acts, human corrects, better policy, better robot. The goal isn’t to remove humans from the loop. It’s to turn human control into the training signal that makes robots better. That’s a different way to think about controlling robots. @axisrobotics