Do you own a robodog and wish it had the ability to perform incredible stunts like parkour? Well, you’re in luck! Stanford University and Shanghai Qi Zhi Institute have developed an AI algorithm that enables robot canines to jump over obstacles and squeeze through tight spaces. The best part is that this algorithm can be installed into “off-the-shelf robots,” making it accessible to everyone.
Robot dogs have the potential to be unique pets or assist in search and rescue operations, but the cost of existing models limits their accessibility. However, the latest AI algorithm developed by Stanford and Shanghai Qi Zhi could change that. By creating more budget-friendly options, this algorithm allows everyone to benefit from the latest robotic technology.
So how did the AI robodogs improve? The researchers at Stanford and Shanghai Qi Zhi installed their AI algorithm into low-cost, off-the-shelf robots and published their findings on OpenReview. These robots, measuring roughly 10 inches tall, were capable of scaling up to 15.75 inches high, leaping over gaps 23.6 inches wide, crawling beneath barriers 7.9 inches low, and even tilting to squeeze through spaces narrower than their width. What’s even more impressive is that these robot canines can perform these feats autonomously, without the need for human control.
The researchers trained the AI robodogs using a reinforcement learning method. They created soft and hard dynamics to teach the bots how to clear obstacles, avoid collisions, and minimize effort. Through trial and error, the virtual robots were able to determine the best ways to overcome challenges and learn complex motor skills.
The AI algorithm developed by Shanghai Qi Zhi Institute and Stanford University has unlocked the potential for robot canines to perform parkour. With further research and development, this algorithm could have practical applications in various fields. Imagine a world where AI robodogs are utilized for multiple purposes in different countries. The possibilities are endless.
To learn more about this exciting research, you can read the Robot Parkour Learning paper. Stay up-to-date on the latest digital trends and tips by visiting Inquirer Tech.
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