Central mode generator allows the robot to walk accurately

Walking robots are complex robots and friends of machines that humans are most eager to make sooner. However, it is not easy to make a robot that can walk with precision. It is only for the machine to simulate human walking movements. Scientists have to pay tens or even hundreds of years of hard work.

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 closely resembles the pace of humans and is currently in the hallway. Walking in the middle of the walk. 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 region of the 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. The sensor can send feedback signals to this half-deficient structure, including a load sensor. When the leg is subjected to stepping surface pressure, the strength of the limb can be felt.

The goal of this project is to improve the robot's field operations. The results of this research are being used for field surveys and dangerous rescues. But researchers warn that the technology still needs to go a long way before it can really help humans.