My Actifit Report Card: March 9 2025

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It all starts with a curiosity; Ways to get up from a robot




You know the saying "falling is allowed, getting up is mandatory", now robots will be able to apply that saying, although better than humans, watch the video, no matter how perfect a robot is, a trip or an accident will be inevitable when facing the real world, the real world is not a laboratory, nor is it a platform, there are irregularities, there are stones, there are different terrains, there are obstacles.


The question is, will it be able to get up and move on, researchers from China in Hong Kong have developed a new Artificial Intelligence learning framework that teaches humanoid robots to get up from an inactive position and also incredibly agile and fast, regardless of the position or terrain where they are.


The team published its findings on February 12 and also uploaded the data to the arviz pre-print database, along with this video that demonstrates the robot's abilities, by the way, we already know it from unitree G1, This is a more advanced model, it is much more advanced, yes we could send one of these robots to Mars without a doubt, the problem is the battery, the charge it would need to have, it would have to go from time to time to charge, the base would have to have a reactor, that is, the ship that takes it would have to have a nuclear reactor or have large solar panels to supply it with energy, so it could not be very autonomous, it could not go very far.


The system that it has allows it to get up and act on different terrains, in fact the images that you saw at the beginning of the abuse of the robot were trying to experience that, blows from different angles, inclined terrain and more.


The images without reference were created with AI
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_This report was published via Actifit app ([Android](https://bit.ly/actifit-app) | [iOS](https://bit.ly/actifit-ios)). Check out the original version [here on actifit.io](https://actifit.io/@jorgebgt/actifit-jorgebgt-20250310t050126767z)_


09/03/2025
7497
Cycling, Home Improvement

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