A robot sees a glass and a towel. The difficult part is understanding every physical action between them. This Perceptron Egocentric demo captures a task that demands continuous coordination. ➝ One hand stabilizes the glass ➝ The second hand folds and reshapes the towel ➝ The grip changes as the towel enters the glass ➝ Contact continues while the object rotates ➝ Pressure shifts across the inner and outer surfaces ➝ Each action receives its own temporal boundary ➝ Both hands remain tracked through the full sequence The result is structured supervision built from a normal human task. This type of egocentric data can help manipulation models learn the exact movements behind household actions instead of relying on one broad video caption. Early access at perceptron.inc #EmbodiedAI #RobotLearning #PhysicalAI #Robotics