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 ...

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 ...

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely ...

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 ...

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

Interestingly, the robot was powerful enough to break parts of the opponent, a smaller G1 model humanoid developed by Unitree ...

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 ...

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 ...

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 ...