In an office at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), a soft robotic hand carefully curls ...

"In robot manipulation, learning is a promising alternative to traditional engineering methods and has demonstrated great success, especially in pick-and-place tasks," says Cui, ...

Read their full paper, “Robot Learning Manipulation Action Plans by ‘Watching’ Unconstrained Videos from the World Wide Web,” here (PDF).

This course will cover a variety of machine learning approaches that allow robots to learn manipulation tasks from their own actions and experiences, as well as through interaction with humans. Topics ...

Google taps computer vision to improve robot manipulation performance. Kyle Wiggers @Kyle_L_Wiggers. March 20 ... They then tasked a real-world robot with learning to grasp a set of objects ...

So attempt after attempt, the robot. gets closer to its goal. This is called reinforcement learning. The robot is essentially failing its way toward victory. In this way, Brett can teach itself a ...

There are also six new humanoid robot learning workflows for Project GR00 T, to enable AI robot brain development, and new developer tools for video processing. Seeing and understanding the world ...

Machine learning + an artificial hand = one dexterous robot. / Artificial Intelligence / Artificial Intelligence / Hand Movement / Robot Hands Updated 5.13.16, 2:53 PM EDT by Jelor Gallego ...

One key to achieving this goal is to improve robot perception. Martial Hebert of Carnegie Mellon University explained that a robot must be able to generate a description of the local environment at a ...

The robot, which the designers ... Tiny 'rhinoceros beetle' robot does micro-scale manipulation in ... HB-3 is also equipped with an internal camera and performs tasks using machine learning ...

We are seeking excellent candidates at post-doctoral level to participate in new research endeavours, related to robot learning, manipulation, and AI for autonomous physical systems. The projects ...