It’s finally here! After nearly two years of work, my new Viewpoint Article, “Extending robot minds through collective learning,” has been published in Science Robotics.
I’m incredibly passionate about this topic, and I believe it’s time for a fundamental shift in how we approach robotics research. For too long, we’ve focused on creating “do-it-all” generalist robots powered by massive, monolithic AI models. This approach is not only unsustainable, but it’s also fundamentally misguided.
In the article, I argue for a new paradigm: collective robotic intelligence. Instead of a single, central “brain,” we should design robot collectives made up of diverse, specialized agents that learn and work together. This “mixture-of-robots” approach is inspired by natural systems, where cooperation among specialized components leads to greater intelligence and resilience.
I hope this article will spark a conversation and inspire researchers to move away from the pursuit of a single, all-knowing robot. The future of robotics isn’t a solitary genius; it’s a collaborative community!
You can read the full article in Science Robotics.
What are your thoughts on shifting from individual to collective intelligence in robotics? I’d love to hear your perspectives.