Skild AI unveiled its latest look at a generalized brain for robotics. The company aims to provide a general-purpose brain, called the Skild Brain, that is capable of controlling diverse robots across various environments and tasks. A new video (watch above) highlights the company’s early progress in this journey. Physical AI represents the convergence of artificial intelligence (AI) with physical systems like robots that can sense, act, and learn in real-world environments. It enables intelligent agents to process data, make decisions, and interact physically with their surroundings. The importance of Physical AI stems from its ability to bridge the gap between AI in software and tangible action in the physical world. “Robotics is marred by Moravec’s paradox: the hard problems are easy and the easy problems are hard. A lot of current robotics models focus on tasks that are hard for humans and easy for robots: dancing, kung-fu, because they are free-space actions and do not require any generalization,” said Deepak Pathak, CEO and co-founder of Skild AI. “Skild AI models can not only solve these easy tasks but also solve everyday hard tasks such as climbing stairs even under adversarial conditions, or assembling fine-grained items, which require vision and reasoning about contact dynamics.” It’s been a little over a year since the company closed a $300M Series A round to fund this development cycle. In that time, the company has grown to over 25 employees and raised a total of $435 million across two funding rounds. Several other notable companies are also launching physical AI solutions. Physical Intelligence, founded by Berkeley professor Sergey Levine, is chasing the same end goal: a single brain/foundation model for any robot.

Full report : Skild AI unveils a generalized brain called Skild Brain which can control humanoids.