You’ve probably heard stories about AI beating humans at games that require intelligence, such as chess and Go. It’s impressive, but not shocking.
AI is good at crunching numbers and finding patterns.
But what about physical skills? That’s something humans are better at, right? Well, no more.
AI labyrinth maze champion appears
Researchers at ETH Zurich have created an AI robot with the task of learning how to play the popular wooden labyrinth maze game. The goal of the game is simple: using two knobs, you must steer a marble ball from its starting point to its ending point without falling into a hole on the board. But if you’ve ever played it, you’ll know that it’s actually easier said than done. The scientific explanation behind its difficulty is that it requires sharp motor skills, spatial reasoning abilities, and lots of practice.
What is artificial intelligence (AI)?
Introducing our new robot champion
The robot, named CyberRunner, is equipped with two motors (hands), a camera (eyes), and a computer (brain) that allows it to play games just like a human. Just like humans, CyberRunner learns through experience, leveraging recent advances in model-based reinforcement learning. This allows AI to make decisions and choose likely successful actions by predicting the outcomes of different courses of action.
While playing the game, CyberRunner observes the labyrinth and receives rewards based on his performance. It memorizes the collected experience, or what humans call “practice,” and is used by algorithms to learn the system’s behavior.
Based on this knowledge, you can recognize the most promising behavior. As a result, the robot’s usage of his two motors is continually improved, and Cyber Runner continues to improve as its algorithms run each time it is played.
Robot’s victory over humanity’s record
The robot received 6.06 hours of practice. Impressively, he broke his world record of 15.41 seconds, set by Lars Göran Danielsson in 2022. Cyber Runner completed the game in his 14.48 seconds. This made him over 6% faster compared to the human record holder.
Researchers say that during the learning process, the robot discovered shortcuts and discovered ways to cheat. This is a behavior that is being studied as an innate human trait. So the researchers had to intervene and tell CyberRunner not to skip parts of the maze.
What can we learn from CyberRunner?
Researchers Thomas Bee and Raffaello D’Andrea are making their robotic system’s hardware and software available as open source so that others can benefit from and learn from their breakthroughs in AI skill acquisition. I’m trying to. They hope to encourage other scientists and engineers to use their experiments as an opportunity to conduct their own research.If you are interested, please read the research paper. available here.
Cart important points
CyberRunner’s victory was an important milestone in the field of artificial intelligence, demonstrating that AI can outperform humans not only in tasks involving information processing, but also in games of physical skill. The project’s open-source approach makes the benefits of this work available to a wider audience and paves the way for further innovation in real-world machine learning and AI. The lines between human and machine capabilities continue to blur as we see AI break new ground.
CLICK HERE TO GET THE FOX NEWS APP
Answers to CyberGuy frequently asked questions:
Ideas for using holiday gift cards:
Copyright 2024 CyberGuy.com. All rights reserved.