The BrainBody-LLM algorithm mimics how the human brain and body communicate during movement. It has two main components: the ...

Kaveh Hamed shares a photo of his six-year-old dog Telli in high-speed motion, a source of inspiration for his bio-inspired thinking around legged locomotion. Two years ago, Kaveh Hamed saw his son ...

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

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 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 ...

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 ...

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 ...