Towards the biological and machine interface


What will be the next frontier in robotics? To answer this question, let's take a look at this robot dog, which is guided by a mini human brain grown in a laboratory. Researchers in the United States demonstrated this by attaching brain organoids, tiny 3D models of the brain, to a graphene interface and using light to stimulate and read neural responses in real time, showing that these robots can create a kind of symbiosis between organic matter and silicon.


The organoid tends to learn and reorganize connections, neuroplasticity, something that traditional chips do not do naturally. This opens up hypotheses for more responsive prosthetics, adaptive robotics, and even biological computing based on living tissue.

The way GraMOS uses graphene to connect brain organoids with machines is mind-blowing. The robot dog’s reflex and adaptability show how biohybrids could transform prosthetics, robotics, and even computing. The ethical and safety concerns remain crucial though.
The idea of robots learning through living brain organoids shows how close biology and technology are becoming. While still experimental, it opens huge possibilities for prosthetics, adaptive robotics, and bio-computing. Ethical and safety concerns remain, but the potential for real-world impact is incredible.
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