https://safirsoft.com These virtual obstacle courses help real robots learn to walk

Specialized chips and simulation teach a four-legged robot to climb stairs and blocks. But it may show a way to learn new car tricks.

A simulation segment in which virtual robots learn how to climb stairs.

The virtual robot army was developed by researchers from ETH Zurich in Switzerland and chip maker Nvidia. They used stray robots to train an algorithm that was then used to control the robot's legs in the real world. Falling into a hypothetical vision every time a robot learned how to handle a challenge, the researchers presented a problem by introducing a more complex control algorithm.

https://safirsoft.com These virtual obstacle courses help real bots learn to walk

From a distance, the resulting result Scenes resembling an army of ants moving over a large area. During the training, the robots were able to go up and down the stairs with ease. More complex obstacles persisted. The slopes were very difficult to handle, although some virtual robots learned how to pull them.

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When the resulting algorithm was ported to the real version of ANYmal, a four-legged robot the size of a large dog with a sensor on the head and a detachable robot arm was able to move up stairs and blocks but trouble at higher speeds. Researchers point to misconceptions about sensors in the real world compared to simulations.

Similar types of robot learning can help machines learn a variety of useful things, from sorting packages to sewing, clothing, and harvesting. The project also reflects the importance of simulations and dedicated computer chips for future advances in applied artificial intelligence. Berkeley professor and founder of Covariant, a company that uses artificial intelligence and simulation to train robotic arms to pick and sort things for logistics companies. He says the Swiss and Nvidia researchers have "gained good speed". matching. For example, being able to perceive things that are unpleasant, slippery, or unfamiliar is not something that can be written into lines of code. How the animals learn through positive and negative feedback when the robots move their legs, an algorithm determines how this affects their ability to walk and adjusts the control algorithms accordingly.

These virtual obstacle courses help real robots learn to walk
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