Robots have a problem. If they tip over or fall, they will likely smash on the ground. That’s why Professor Karen Liu and her team at Georgia Tech’s School of Interactive Computing are studying cats.
The goal is to study how cats and athletic humans optimize their body position in mid-air to achieve a softer landing, and then applying those learnings to optimize a falling bot. Now if a robot falls, it should be able to twist itself like a cat and land on its feet.
Then again, why build robots to do that when we have plenty of cats that can do that naturally? The only difference is that robots are built to serve people while with cats, it’s the other way around.