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 ...

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

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 ...

A research team from the Massachusetts Institute of Technology (MIT) was nominated for two best-paper awards at the International Conference on Robotics and Automation this week. The annual event, ...

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 ...

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 ...

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 ...

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 have amazing efficiency compared to human beings. Using algorithms that optimize work processes, robots are engineered to perform their assigned tasks to completion as efficiently as possible.

Researchers will present a new, decentralized planning algorithm for teams of robots that factors in not only stationary obstacles, but also moving obstacles. The algorithm also requires significantly ...

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 ...