Robots with ‘Human Feeling’: they learn how to move by watching themselves through camera

Their body structure and the way they move can learn the robot observing their movements with the help of a camera.

In this way, robots and camera use can overcome the problems they face. This reveals a study by Columbia University, published in Nature Machine Intelligence.

In the study, researchers developed a way in which robots can model their own three -dimensional shapes autonomously using a simple regular 2D camera. This achievement is due to three deep neural networks, artificial intelligence systems that mimic the brain.

These concluded the 3D movement from the video allowing robots to understand and adapt to their own moves, detect lesions in their bodies, and adjust their movements to recover from lesions. As the researchers point out, as we deliver more and more critical functions to robots, from manufacturing to medical care, we need these robots to be more durable.

“As people learn to dance by watching their reflection in the mirror, so robots use raw video to obtain self -knowledge of their movements. Our goal is a robot who will understand his body, adapt to damage and learn new skills without constant planning from humans, “says Study’s lead author Yujang Hu, a doctoral student at Columbia University.