Machine Learning and Artificial Intelligence for Robotics Professor Brenna Argall talks about the importance of her Northwestern course and how her students will be able to implement the lessons they ...

There have been a wide range of machine-learning focused student projects recently, including training a robot dog to walk and helping a robot translate text from any language to any other and then ...

In a rare event, some of the world’s leading scientists, tech execs and investors convened in San Francisco at the first G-Summit, organized by the GWC. The exclusive group shared breakthrough ...

One the many opportunities Pieter Abbeel of covariant.ai identified in 2018 was to figure out how to apply machine learning to robots designed for relatively easy two-second tasks.

The system is designed to dismantle batteries in two phases—from battery pack to module and from module to cell level.

“It’s very easy to get intimidated,” says Hamayal Choudhry , the robotics engineer who co-created the smartARM, a robotic hand prosthetic that uses a ...

By combining machine vision with learning capabilities, roboticists are opening a wide range of new possibilities like vision-based drones, robotic harvesting, robotic sorting in recycling, and ...

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.

Machine learning Robot that watched surgery videos performs with skill of human doctor Breakthrough training system utilizing imitation learning opens 'new frontier' in medical robotics Jill Rosen / ...