"Frog Robot" Born, Assisting Future Healthcare?

Spanish “Muy Interesante” magazine article, April 5th, original title: They Have Created the First “Biobots” Embedded with Neural Cells That Can Self-Generate Brains
What happens when the boundaries between robotics and biology blur almost to the point of disappearance? Will artificial monsters like those in the novel “Frankenstein” be born? A recent study in the field of life systems engineering integrated frog cells into robots’ bodies, creating “biobots” with their own neural control systems.

Cell Plasticity Is Astonishing

Recently, in a paper published in the German journal “Advanced Science,” researchers from Tufts University and Harvard University used neural precursor cells (a type of immature cell capable of self-renewal and multi-directional differentiation, capable of becoming neurons, astrocytes, and oligodendrocytes) to develop the first autonomous biobots. This research not only challenges our understanding of robots but also reveals cell plasticity: neurons can grow and develop outside natural biological environments and build logical networks.

The foundation for constructing these biobots is the epidermal tissue of the African clawed frog. Normally, these cells form the animal’s skin, providing a protective barrier. However, scientists used synthetic morphology techniques to extract these cells from their original environment and recombine them into a completely new physical form that operates collaboratively, transforming into “biobots.” The fundamental difference from previous experiments is the addition of an “intelligent fragment”: neural precursor cells. When these neural cells are introduced into the biobot, a sci-fi-like self-assembly process occurs. The implanted neurons gradually mature, extending axons and dendrites, forming functional synapses within the artificially designed robot body. The cells explore new environments on their own, seek out neighboring cells, and establish electrical signal networks, rather than being connected one by one under a microscope by engineers.

Neural Networks Are Not Decorations

To understand the molecular operation mechanisms of the robots, researchers employed a technique called RNA sequencing. This technology allows them to observe which genes within the biobot cells are “turned on” or active at specific times. The results brought an unexpected technological discovery, forcing us to rethink our understanding of perception in synthetic biology.

The findings revealed an astonishing fact about these biological perception traits. Despite lacking eyes or head structures, these biobots can spontaneously activate genes related to visual perception. This phenomenon suggests that neurons retain some form of memory of their lineage, or that when they find themselves in a new body structure, they attempt to activate sensory pathways to interpret their surroundings. It indicates that even without traditional sensory organs, life continually explores new ways to perceive the world. To confirm that this neural network is more than just a structural “decoration,” the Harvard and Tufts teams used calcium imaging technology. This visualization technique enables scientists to observe in real-time the timing and manner of electrical signals triggering between cells. By adding fluorescent indicators responsive to calcium ion flow, scientists could observe the electrical signal “communication” among these neural robots.

Potential Synthetic Muscular Control System

High-resolution microscopy confirmed the existence of the logical network operation. Calcium imaging verified the presence of synchronized electrical pulses, which coordinate the biobots’ behaviors. When external stimuli occur, electrical impulses within the neural network cause the biobots to respond accordingly, allowing them to interact with their environment. This “basic intelligence” enables the biobots to move in ways different from simple biological robots without nervous systems.

These robots are not laboratory “Frankenstein” monsters but explorations of life’s limits. By equipping biobots with nervous systems, researchers are laying the groundwork for next-generation medical technologies. In the future, similar systems could be designed to autonomously navigate the human body, identify tissue damage, and utilize their biological processing capabilities to coordinate complex repair processes. Understanding how neurons self-remodel in artificial environments offers the possibility of designing high-precision synthetic neuromuscular control systems. The emergence of life systems with their own neural networks marks a turning point in the field of bioengineering. (Author: Santiago Campillo Brocar, translated by Luo Yun)