Can a single module turn any robot into a self-learning, privacy-aware, collaborative machine? OpenMind makes that ...

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

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

Developments in autonomous robotics have the potential to revolutionize manufacturing processes, making them more flexible, customizable, and efficient. But coordinating fleets of autonomous, mobile ...

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 ...

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 ...

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 ...

In a recent demonstration, Unitree's H2 humanoid demonstrated its high-power actuation by executing aggressive moves.

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 ...

Robot dogs can move efficiently, but not all that naturally -- and no, twerking doesn't count. Virginia Tech researchers think they can do better. They're developing a combination of algorithms and ...