IntuiCell, a startup rooted in Lund University, has unveiled Luna, a quadruped robot equipped with the first functional digital nervous system . This breakthrough allows the robot to learn from scratch, in real time, and in the physical world, just as humans and animals do.
A digital nervous system that reacts instinctively
Unlike traditional AI models that rely on large volumes of data and pre-training, IntuiCell’s approach is based on a neuroscience-inspired architecture. Instead of predefined patterns, Luna interacts with its environment and adapts its behavior on the fly, without simulations or programmed instructions.
[post_relacionado]According to IntuiCell, this system allows any machine to develop cognitive capabilities based on its sensory experience, representing a substantial evolution in the field of autonomous artificial intelligence.
From brain theory to functional software
This project emerges after decades of neurophysiological research on how the brain works. IntuiCell’s founders have translated this knowledge into a computational environment, creating software that simulates learning based on biological neural networks . This transition from theory to application has given rise to a new paradigm: robotics based on instinctive intelligence.
Luna doesn’t use generative models or predictive algorithms. Instead, its training is similar to that of an animal, as it receives stimuli, responds, and adjusts its behavior with each experience.
See how the software works. It allows any machine to learn like humans and animals! Source: IntuiCell
Applications beyond home robotics
Although Luna is the first tangible demonstration of this technology, IntuiCell plans to apply its digital nervous system to humanoid robots , space exploration platforms, and extreme environments such as seabeds and disaster zones. In all of these cases, the ability to learn and adapt without prior data or connectivity can make a crucial difference.
To train Luna, the company has opted for an unusual approach: a dog trainer. The goal is to simulate the animal’s learning process without algorithmic intervention , thus validating that the robot can progress using only its digital nervous system and its environment as a guide.
According to the company, what has been seen so far with Luna is just the beginning. The implications for machine autonomy, cognitive robotics , and the understanding of learning in artificial systems remain to be explored.
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Source and photo: IntuiCell