The latest development of the first super biology precision walking robot

According to the British Daily Mail, at present, American researchers have newly developed a walking robot, which is called the first robot to walk in a biologically accurate manner.

Researchers from the University of Arizona have now developed a mechanical trouser similar to the cartoon “Super Invincible Head Dog”. This is actually a walking robot that is very similar to the pace of humans and is currently in the hallway. Walking in the middle of the walk.

The research team said that they have now simplified human walking skills to “musculoskeletal structure” and used sensory feedback to keep their legs stable and balanced. This robot has perfect biological accuracy. This research report has now been published in the July 7 issue of the Journal of Neurophysiology Physics Society, which enables researchers to better investigate and analyze human walking characteristics.

This robot helps to understand how babies learn to walk and how to help patients with spinal injuries recover their walking ability. The key component of the human walking system is the Central Pattern Generator (CPG), a neural network in the lumbar spine that produces intermittent muscle signals.

The generation and subsequent control of the central pattern generator, these signals can respond to the environment by collecting information from different parts of the body. This allows people to make walking movements without thinking.

The simplest model generator is a half-deficient structure. It contains only two nerve cells, which release signals and produce a certain rhythm.

The newly-developed robot includes an artificial half-deficient structure, and the sensor can send signals back to this half-deficient structure, including a load sensor, which can sense the body's strength when the leg is subjected to stepping surface pressure.

Dr. Theresa Klein, co-author of the study, said: "It is very interesting that we can produce walking steps without balancing the system. We can control the buttocks and a group only with a simple half-deficient structure. The reflex response controls the lower limbs to simulate human walking.”

Researchers from the University of Arizona in the United States assumed that infants began to walk with a simple half-deficient structure. Similar to the newly developed robots, infants gradually learned a more complex walking pattern over time.

This may explain why babies are placed on treadmills before they learn to walk and can see that they are making simple walking steps, and they have formed a simple half-deficient structure.

Dr. Klein emphasized that this neural network could potentially form neural generator neurons of the central model, which could explain why after a few months of appropriate walking arousal after injuries to spinal injury patients, walking ability can be gradually restored.

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