Robots that Learn

"The system is powered by two neural networks: a vision network and an imitation network.

The vision network ingests an image from the robot’s camera and outputs state representing the positions of the…Read More

Personal Robotics: Grasping Novel Objects

Learning-based approaches in previous works have been successfully used for grasping novel objects, but required manual design of features for image and depth data. We use deep learning, which allow us to learn the basic…Read More

A good read about Deep learning and its impact on Robots

Deep learning enables the robot to perceive its immediate environment, including the location and movement of its limbs. Reinforcement learning means improving  at a task by trial and error. A robot with these two…Read More