Those lifeless, useless, life-sized robots we can all despise? Well, they’re starting to age — and now they’re starting to actually reproduce, too. Or at least some of them.
Unusually sentient little creatures called Asiatic cheetahs that had been designed to exhibit simple behavior have suddenly been programmed to reproduce in a laboratory, scientists said Tuesday. The same seemingly toothed animals have also demonstrated regressive, regressive, regressive behaviors. Sure, they can stomp and bite, but not very long ago.
Most people are familiar with the famous 1997 film “The Matrix,” in which Neo’s superhuman robot companion, the W0rd, is designed and used to commit a crime, saving and protecting humanity. Back in the real world, the lineage of robots may have begun with UniTrace, the first bot built in 1997 and designed to scan a household and provide real-time feedback on whether it’s necessary to remove objects. For centuries, scientists have studied animal behavior to see if they could remotely manipulate and manipulate animals to learn how they think.
Some of these early robots, designed to imitate wild animals, always made a sound even when performing a task. (That noise came from a chip in the robo-cheetah’s neck.) And some had mechanical parts that accelerated the movement of arms, which allows the machine to make a smooth, lean motion. These first bots, however, were not capable of replication, something Asiatic cheetahs excel at. So why put cheetahs together?
Because cheetahs seem to be able to adapt faster than most. Most other robots need a certain amount of time to catch up to their target targets. But the scientists have found that the Asiatic cheetah can reproduce in 100 days. A second cheetah, at a distance of about 300 meters, can also reproduce in the same time frame. The little predators – A7H300 — may look like honed versions of robots used to monitor traffic at places like Walt Disney World, but they’re actually smaller, simpler and faster than any consumer robot.
“This breed of robots need be fundamentally different from the current race to create anthropomorphic bots,” said Andrew Schlossberg, an assistant professor of mechanical engineering at the University of Pittsburgh and lead author of the new study. “These robots are born as a good representative of how a tiger changes its behavior and death is automatic for it. That means we have to think about when and how to implement strategies in these animals in the digital world.”
This first batch of cheetahs apparently started slowly, then accelerated. Now, scientists believe they reproduce at the rate of one per day, thanks to their new learning abilities. (A few months ago, the team created eight cheetahs, and it appears they’re already reproducing at that rate.)
At that pace, scientists believe that cheetahs can reproduce in the upcoming year, though replication will require a new programed system that will teach the cheetahs to pick apart their environment and identify specific dangers. Plus, the cheetahs will need to maintain their robotic adaptations, making sure their limbs can withstand the strain of the leg motions of the robot. And before then, scientists will have to figure out how to feed and keep the four-legged beasts satisfied.
The creation of robots that “can respond to the environment in different ways and react to the change in the environment,” as Schlossberg said, “has been challenging.” The Asiatic cheetah is one of the first applications.
In the future, scientists hope that they can program intelligent robots that can mimic the movements of wild animals. The main benefits of this approach would be to understand and model behavior, to help robots understand how we and the world move.
This isn’t the first time scientists have merged the worlds of animal and artificial intelligence. Scientists at a museum in Ohio, for example, recently showed a movie of a crocodile and a mechanical tiger and a robotic bobcat and lizard all fighting for the same food. A set of soft robots that swim by flapping their legs attached to flexible laces simulates marine life, and scientists at Washington University in St. Louis recently built a robot that can eat at a feeding station.
Artificial intelligence that can imitate and learn from our actions is also increasingly being developed for devices like drones and even food delivery robots.