Today, society is almost split on the idea of robots and artificial intelligence. If you were to go around and take a random sample of people and ask whether they support the advancement of robots, I’m sure the results wouldn’t be one sided. Some people believe having robots and artificial intelligence will greatly improve society, and others believe the robots will be able to take us over, becoming smarter than us, and eventually becoming the superior species.
Researchers at the University of Southern Carolina have developed a robot that was capable of teaching itself how to walk, without being programmed to do so. Within 5 minutes, the robot was able to use the algorithm given to learn how to walk. The researchers say the algorithm was based on real-life biology, similar to how animals learn how to walk at a young age. However, animals, and even humans take a while to learn how to walk, and this robot was able to do it in a short amount of time. The article covers how most robots today need a lot of time before interacting with humans and society, but this new algorithm allows them to learn and test themselves out fast and develop skills by easily just doing them.
I believe this is a cool, yet scary idea. I think the promotion of this new algorithm is a cool idea, allowing researchers and creators to not have to program the robots with sophisticated equations and numbers, but allow the robots to learn just by doing something. At the same time, it is a tad scary that a robot can just learn that easy, and that fast. At the same time, the article covers two benefits to this technology, such as giving a better prosthetic for a disabled individual, or sending a smarter robot into a new environment for a search and rescue mission. Essentially, there are a lot of benefits and pros to this new algorithm, but I think we need to be careful with what we use it for, because it could potentially be very good for society.
Source: https://www.sciencealert.com/this-robot-leg-learned-to-walk-all-by-itself-without-any-programming