In a new development, researchers have introduced a new technology called “Visual Prediction”. Visual prediction allows robots to predict the consequences of their future actions so they can easily manipulate “strange” objects. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original Essay Researchers at UC Berkeley have developed the learning technology that is about to change the world of artificial intelligence. Of course, it would also help self-driving cars predict future events and would also boost smarter robotic assistance. But this first prototype only serves to teach them independent manual skills. Simple predictions that may only last a few seconds but are still enough for him to calculate how to successfully move objects on a table without getting in the way of obstacles. These tasks can be done independently, as their visual imagery is learned without supervision, from scratch. The robot plays with objects on the table, after which it builds a predictive world model and uses this information to handle new objects. The research team performed a demonstration of this new technology yesterday at the Neural Information Processing Systems conference in Long Beach, California. Said Sergey Levine, assistant professor in Berkeley's Department of Electrical and Computer Engineering. “In the same way we can imagine how our actions will move objects in our environment, this method can allow a robot to visualize how different behaviors will affect the world around it.” “This can enable intelligent planning of highly flexible skills in complex real-world situations." Chelsea Finn, a doctoral student in Levine's lab where the technology was developed, who also invented the original DNA model, also said: "In the past, robots learned skills with a human supervisor who helped and provided feedback. What makes this work exciting is that robots can learn a variety of visual object manipulation skills completely autonomously." Simply put, this new learning technology is intended to enhance artificial intelligence. They learn simple tasks and successfully interact with them. Frederik Ebert, a graduate student who also worked on the project, said that humans learn object manipulation skills without any teacher through millions of interactions with a variety of objects throughout their lives. Please note: this is just an example. Get a custom paper now from our expert writers. Get a Custom Essay We have shown that it is possible to build a robotic system that leverages even large amounts of autonomously collected data to learn widely applicable manipulation skills, especially object-pushing skills. “This is well underway and its future looks promising as further research is currently underway.