IntuiCell's robot dog is equipped with a new AI brain, opening the stage for self-learning and self-adapting like a living creature.
Introduced by IntuiCell with the ability to self-learn and adapt to the environment, the new AI model called Digital Nervous System is integrated into a robot dog named Luna.
"For decades, AI has excelled at processing huge amounts of data, but has not been able to achieve true intelligence," Viktor Luthman, co-founder and CEO of IntuiCell, told DigitalTrends. "Our system changes that. We translate biological learning principles into software, allowing AI to evolve, adapt, and interact with the world in ways never before possible."
According to IntuiCell, instead of simply training a pre-programmed AI model to control the robot, the company takes a completely different approach: using an AI system capable of self-learning. By simulating the biological nervous system, the system allows the robot to interact, process, and adjust its behavior to suit its surroundings.
In the video shared by IntuiCell on YouTube, Luna starts with random movements of its legs. However, the robot then gradually refines itself to maintain balance, stand firmly, and move flexibly.
The robot dog's ability to learn to stand up on its own using IntuiCell technology.
According to Luthman, by licensing the Digital Nervous System, IntuiCell wants the technology to "become the foundation for all non-biological intelligence, empowering organizations and individuals to solve real-world problems that humans cannot yet anticipate without relying on massive training data sets."
IntuiCell has high hopes for its AI, especially its ability to learn in real time through a decentralized learning network. It also promises to bring breakthroughs in many fields, from ocean and space exploration to emergency response in dangerous environments that are difficult for humans to access.
According to Udaya Rongala, co-founder of IntuiCell, the current approach to training AI models by expanding data, increasing parameters and computing power of AI is wrong. “IntuiCell’s AI is not just an upgraded version of machine learning, but a completely new form of intelligence,” Rongala told DigitalTrends, adding that the company is not developing models in the direction of bigger is better, and that self-learning intelligence for robots is just the starting point.
After a period of developing hardware for robots, companies began to move to the software race. On March 18, Nvidia launched the GR00T N1, calling it “the world’s first open humanoid robot platform.” It is equipped with a “dual” system that allows robots to think fast and slow — a factor quite similar to reasoning AI models.
Previously, Google also introduced two platforms Gemini Robotics and Gemini Robotics-ER with the goal of becoming a common platform for robots. A scientific report published in January in Foreign Policy magazine estimated that the “brain” and the most powerful AI chips of a humanoid robot account for about 80% of its value. This is a big advantage that American companies have.
