Japanese Neural Network Robots: Can Do Actions According to Their Willingness

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Alter is not currently a complete bipedal robot. In fact, it only has an upper body, and in addition to the face and the lower arm, the other parts are “naked” and you can see the complete mechanical structure. Its advanced part is the built-in "central pattern generator" (CPG) and is powered by 42 pneumatic actuators. The CPG allows the robot to have its own autonomous movement pattern. The mechanism is more complicated. The built-in sensors can detect the surrounding objects, temperature, humidity, or sounds to form specific movements. This is why Alter gives a strange feeling in the display.

Obviously, robots need more than just smarter AI. Neural networks are also worth investigating. They can make robots closer to humans and respond appropriately to the surrounding environment and things. Izhikevich neurons are the most basic and mainstream technologies in the field of robotics. Professor Ikeue of the University of Tokyo has developed a CPG based on this, allowing robots to change the mode of action based on data provided by sensors.

Professor Kouhei Ogawa of Osaka University, who once made his own robot, added: "Alter doesn't look like human beings. It doesn't act like humans either, but it is more soulful." Indeed, Alter's actions feel absurd and random, not human but not like traditional robots. This is very interesting. “Until now, letting robots talk or interact with humans for ten minutes, both of which contain a huge amount of work, and Alter's emergence means progress”, Ogawa said.

Alter will be exhibiting at the National Science Museum in Japan for a week, and the development teams from Tokyo and Osaka hope it will inspire new ideas and change the future. (Author: Mat Smith compiled: Ko)

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