A Golden Age of Robotics is Coming 2025 to 2045

Google DeepMind's RoboCat Shows Robotics has a Bright Future

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As much as ChatGPT has given us a glimpse of what LLMs will be able to do in artificial intelligence, as I’m doing my summer reading and combing through the literature, I believe I’m seeing signs we are on the cusp of a Golden age in robotics. A golden age in robotics that will change society ushering in a Machine Economy. I believe it starts around 2025 and lasts for two decades or longer, circa 2025 to 2045.

While Generative A.I. might change the classroom and the future of Education, empower solo-entrepreneurs in new ways, and impact white-collar tasks and work, robots will finally in the mid 21st century, become truly useful in smart cities, in the workforce, in various settings and in the smart home. As Generative A.I. learns to read books, robots will get better and better in learning from videos.

If you believe emerging tech is nearing an exponential age, or that AI and The Burden of Knowledge changes the game, we are slowly entering a period where innovation in one sector will start to have implications on research and innovation in other areas until the system might up-end traditional scientific and historical patterns of paradigms, progress, automation and renaissance.

As with regards to how LLMs impact robotics, I believe we are nearing or about to enter such a period.

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What is RoboCat?

RoboCat, a self-improving foundation agent for robotic manipulation that can perform multiple tasks and control multiple embodiments in simulation and the real world.

Robot ‘chef’ learns to recreate recipes from watching food videos

Google DeepMind’s Robocat paper is a precursor to what’s coming along with significant strides in humanoid general purpose robots (GPRs) that are starting to see some serious funding in the early 2020s.

The best takeaway from Google’s work is from a robotics expert who would know, he worked at Google for many years, Eric Jiang: why listen to an expert? Eric was between 2016 and 2022, a Senior Research Scientist at Robotics at Google.

Read his recent blog about it:

With Sparks of AGI in the air, can robots also learn to learn exponentially in their own way?