![]() “It’s precise and fast,” he said, and it has the range of motion and speed he needs for this research. Zhang is the pitcher, and he wants a Kuka KR10 robot to be the batter. He’s using the baseball scenario as a means to that end. There are growing needs for robots to be more flexible, able not just to follow specific instructions but to observe, perceive the environment, and react according to their observations and perception.” “I’m trying to make the interaction between humans and robots more fluid. Before deep learning, people programmed robots with instructions, and the robots just followed them very strictly,” Zhang said. The computational capabilities of graphic processing units (GPUs) have been growing quickly in recent years, so computer scientists are now using GPUs for deep learning research. “Basically, deep learning stacks multiple layers of artificial neurons, creating artificial neural networks which can help machines or robots make decisions. “Human brains process information with layers and layers of neurons,” said Zhang. ![]() The process of making computers more able to simulate the functionality of the human brain is called deep learning, he said, and the techniques are helping make robots more intelligent. ![]() Zhang used machine learning techniques to do that predictive work. Through those models, we extracted data to identify the features of a person’s manner of walking which might predict a fall.” “With a bunch of infrared cameras, we built up models of the human body in motion. “We used a motion capture system to record the gait pattern of older people,” he said. In other words, no matter how challenging it is for a human player to connect bat to ball, it’s currently a lot more difficult for a robot to do the same thing.įor his doctoral research at New Mexico State University, Zhang’s research subjects were more conventional. “But it can only accomplish the task of hitting the ball if the information you give it is very specific and very accurate to a tiny point.” “You have to give the robot tons of information like the speed and direction of the ball and the velocity and angles of the bat,” said Zhang. Now imagine trying to teach a robot to be the hitter. The more skilled the pitcher, the more difficult a task for the hitter. “The hitter must decide whether or not to swing the bat.” “In baseball, the pitcher is going to throw the ball to a certain area, trying to deliver a pitch either inside or outside the strike zone,” Zhang said. The twins’ love of baseball inspired Zhang’s current research into how robots perceive human motion. ![]() While studying automation control science at the Harbin Institute of Technology in northeast China, Lin Zhang, a postdoctoral research associate in the School of Engineering Technology, became a fan of the show. Manga are popular in Japan with people of all ages, and many are translated into other languages. We'll undoubtedly return to unearth additional intellectual masters, like Gretchen from Recess, superheroes Spider-Man and Iron Man, and the remaining array of anime prodigies.“Touch,” a manga (cartoon) which was adapted into a popular animated television series in Japan, is the story of twin brothers who play high school baseball and the neighbor girl who is their close friend. With thousands of cartoons spanning several decades, we've encountered hundreds of potent think tanks, and narrowing the list to just 10 wasn't easy. Jimmy's incredible list of inventions includes his mechanical dog Goddard, a matter-condensing hypercube, anti-aging tonic (which can seemingly keep people young forever), and of course, the ever-popular time machine. Jimmy is far less secretive with his work, maintains a healthy social life, eventually kindles a romance with frenemy Cindy, and is less prone to common sense lapses. Similarly to Dexter, Jimmy is a boy genius who somehow built a full-fledged laboratory despite his youth, but he's better adjusted to life outside his research. Cartoon: The Adventures of Jimmy Neutron, Boy Genius ![]()
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