As time goes on, the terminology of war is changing. China (Chaina) has started planning to put 'robots' or 'machines' on the battlefield. Until now, those who danced or danced on stage, will now fight with their eyes on the enemy.
An event called 'World Humanoid Robot Games' was organized in China last month. Human-looking robots, also known as 'humanoid robots', have taken the stage there. Some 'mechanists' have boxed, some have danced and some have run faster than the legendary Usain Bolt. The audience was also excited by the magic of 'Humanoid Robot'. Several pictures and videos of the event have gone viral on social media. A few days later, China's People's Liberation Army (PLA) took action. Special messages are given to researchers in the PLA's own newspaper. The Red Army called for this advanced technology to be rapidly prepared for military training. Their aim is to make 'robots' stronger than human 'warriors'.
In fact, the importance of 'mechanics' has been increasing in China's defense sector for several years. Beijing is planning to send 'robots' to war. Defense or arms manufacturing companies have already started intensive research on it. Research is also being done on how to wake up the enemy by fighting with flesh and blood soldiers on the battlefield. China's initiative has gained momentum over the past one year. According to a report, nearly 95 percent of the humanoid robots supplied to the world by 2025 will be built by Chinese companies. As a result, 'Dragon' has gained special skills in the 'robot' industry. As a result, the Chinese army has also benefited.
How will 'robots' work on the battlefield? According to sources, going to the enemy's camp and collecting various details, search, Military equipment, food carrying 'robots' are being considered. Not only that, there are also thoughts on how to send robots on dangerous missions for humans. It is believed that 'humanoid robots' can become most useful for such work. Because, like humans, they have two hands and two legs. According to Chinese researchers, this type of technology can be implemented in practice within the next 5 to 10 years.
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