A team of researchers from the Georgia Institute of Technology has developed an algorithm that teaches robots how to fall, allowing them to trip up with a little more grace, and hopefully cause ...

If you have ever watched video from humanoid robot competitions, chances are you have seen a robot fall. Watching toddlers can tell you that it can be hard for humans to keep their balance, but we all ...

A single AI model trained to control numerous robotic bodies can operate unfamiliar hardware and adapt eerily well to serious ...

A new robot has overcome a fundamental challenge of locomotion by teaching itself how to walk. Researchers from Google developed algorithms that helped the four-legged bot to learn how to walk across ...

There's no question that robots will play an increasingly central role in our lives in the future, but to get to a stage where they can be genuinely useful there are still a number of challenges to be ...

At a major robotics competition held in June, several multi-million-dollar robots struggled to perform even simple tasks like climbing a flight of stairs; some even toppled over with what seemed like ...

Mobile robot algorithms and coordination have emerged as a central discipline in robotics research, combining computational theory, distributed algorithms, and systems engineering. These algorithms ...

Getting a robot to walk is one thing, getting it to walk without tripping on the first obstacle it encounters is quite another. Engineers at the University of Michigan are developing a set of ...

A new tool for predicting a person's movement trajectory may help humans and robots work together in close proximity. In 2018, researchers at MIT and the auto manufacturer BMW were testing ways in ...

Researchers developed a deep learning neural network to aid the design of soft-bodied robots. The algorithm optimizes the arrangement of sensors on the robot, enabling it to complete tasks as ...