Vidar Shengshu makes Robot Humanoid faster and cheapest training
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One of the biggest obstacles in the development of human robots is the amount of training data required. Teaching machines for work like humans require huge video data collections. The collection of this data is expensive, takes a long time and is difficult to expand. This challenge slowed progress towards making robots useful in daily environments such as homes, hospitals and offices.
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China launches a training center for 100 human robots, as well
Vidar says that training methods use the video to program robots in 20 minutes. (Vidar)
Vidar by Shengshu converts human robot training
Shengshu Vidar technology is short to post video to think. Instead of relying only on endless hours of material world data, Vidar generates artificial training environments from just a small amount of real video. By mixing real data with the video created from artificial intelligence, VIDAR makes training more efficient and able to develop at reasonable prices.

Vidar uses a video to train robots to perform tasks in the real world. (Vidar)
How Vidar uses AI video to accelerate robot training
Vidar works by separating the perception of control. First, Sengshu Vidu Video Form is used to learn from both real and artificial videos. Next, the important AGNOSTIC system called anypos translates that knowledge into kinetic orders for robots. This normative setting allows training faster and easier to spread across different types of robots.
Unlike the traditional methods that require robots to physically interact with the world for learning, Vidar can simulate the sophisticated scenarios almost like life. Miscellaneous, it only needs about 20 minutes of training data, between 1/80 and 1/1200, which is required by the leading models. This efficiency makes it possible to expand the scope of robot training to levels unprecedented before.
The Chinese technology company shares robot training secrets with the world

Restart Vidar in the real world and publish it with the video form. (Vidar)
The real world applications for Vidar in human robots
Vidar is more than just a search tool. Its design means that robots can quickly adapt to new tasks and environments. This can open realistic applications in Eldercare, home assistance, health care and smart manufacturing. By bridging the gap between simulation and reality, Vidar places human robots as practical assistants instead of future concepts.
Humanoid Robot performs medical procedures by remote control

Anypos -attra results with the video restarting to accomplish various manipulation tasks. (Vidar)
What does this mean to you
For consumers, Vidar brings the idea of home robot assistants or workplace closer to reality. Instead of waiting for decades until robots are ripe, you can accelerate the developmental training in daily settings. This may mean that robots that help you in homework, support Eldercare or even help medical environments closer than expected.
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Vidar is a milestone in the race towards practical human robots. By mixing real limited data with obstetric video, Shengshu created a more intelligent and faster way to train physical artificial intelligence. The approach addresses the cost, efficiency and the ability to expand simultaneously, three factors have long returned robots.
Do you welcome a human robot in your home if it can help in daily tasks, or does the idea still feel very future? Let’s know through writing to us in Cyberguy.com.
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