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

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

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 ...

Plenty of companies have demoed home robots, but few, if any, have actually been released. The truth is that even the most advanced robots aren't very good at interacting with objects and environments ...

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 ...

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 ...

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 ...

We love robots but do we appreciate how much work goes into creating them? We may admire their shell and internal wiring, but we tend to forget that each robot has to be meticulously designed — often ...

Robots are reliable in industrial settings, where recognizable objects appear at predictable times in familiar circumstances. But life at home is messy. Put a robot in a house, where it must navigate ...

There are some tasks that traditional robots -- the rigid and metallic kind -- simply aren't cut out for. Soft-bodied robots, on the other hand, may be able to interact with people more safely or slip ...