Taming Robots, In the near future when people become uninterested in boxing and similar sports, a new sport is created – Robot boxing wherein robots battle each other while being controlled by someone. Charlie Kenton, a former boxer who’s trying to make it in the new sport, not only doesn’t do well, he is very deeply in the red. When he learns that his ex, mother of his son Max, dies, he goes to figure out what to do with him. His ex’s sister wants to take him in but Charlie has first say in the matter. Charlie asks her husband for money so he can buy a new Robot in exchange for turning Max over to them. He takes Max for the summer. And Max improves his control of his robot. But when the robot is destroyed, they go to a scrap yard to get parts. Max finds an old generation robot named Atom and restores him. Max wants Atom to fight but Charlie tells him he won’t last a round. However, Atom wins. And it isn’t long before Atom is getting major bouts. Max gets Charlie to teach Atom how to fight, and the father and son bond strenghtens.
Taming Robots, In 2020, boxing is no longer fought by humans, but they have been replaced by robots. The former boxer Charlie Kenton drives his truck to promote fights with his robot Ambush. When he has just lost a fight, he is summoned to a hearing and forced to take care of his unknown eleven year-old son Max Kenton since his mother has passed away. Charlie loses another fight with the Noisy Boy robot that his girlfriend Bailey Tallet has just bought and he goes with Max to a junkyard to collect parts of robots to build a new one. However, Max finds an old sparring robot named Atom and Charlie teaches him how to box. Atom becomes a winner and Max and Charlie become closer to each other. However, Charlie has an agreement to deliver Max to his aunt and her wealthy husband.
Taming Robots, People have got rid of boxing and have created robot boxing. A person whose into robot boxing, Charlie Kenton, starts off with a fight with his robot Ambush and he’s facing Blackthunder the bull. In an attempt to win, Charlie fails and owes lots of money to Ricky. Then, he has to take care of an 11-year old called Max after his aunt has left for the summer. Max’s uncle gives Charlie some money to buy a Japanese robot called Noisy Boy. Charlie takes Noisy Boy to fight Midas and fails again. But, when Charlie and Max go to the junkyard to clear the parts off of Noisy Boy, Max finds a robot called Atom after slipping off a cliff. However, when Max wins so many fights with Atom, he just might be able to defeat the king of the robots, Zeus.
Taming Robots, In the near future, robots have taken over for humans in the boxing ring. A former boxer and small-time promoter (Hugh Jackman) struggles to make a living with patched-up robots in shady venues. When he discovers he has an 11-year-old son who believes that a robot found in the junk heap has what it takes to win, he finds himself with a shot at the big time.
How-to Tame-A-Robot, In the near future, robot boxing is a top sport. A struggling promoter feels he’s found a champion in a discarded robot.
– Written by IMDb Editors
Taming Robots, A major challenge when it comes to industrial robots is the time-consuming task of programming the robots so that they perform their tasks precisely and efficiently. What if the robot could program itself? Well, Japanese robot maker Fanuc and Tokyo-based machine learning firm Preferred Networks have developed technology known as deep reinforcement learning that enables robots to teach themselves how to perform tasks, according to a report by MIT Technology Review. The robot uses video footage of its attempts to perform tasks in order to learn how to do the tasks correctly, the report noted. “After eight hours or so it gets to 90 percent accuracy or above, which is almost the same as if an expert were to program it,” Shohei Hido, chief research officer at Preferred Networks, is quoted by the publication as saying.
Taming Robots, Madeline Gannon (A 2016), a Ph.D. candidate in Carnegie Mellon University’s School of Architecture, has put the power of interacting with robots into our hands — literally. Now programming robots is not just for those with years of coding knowledge, it’s for anyone who wants to experience what it’s like to simply wave at a robot and have it wave back. Gannon designed Quipt, open-source software that turns a human’s motions into instructions a robot can understand. She designed it while in residence at Autodesk Pier 9 in San Francisco. When she left for her residency, she had been working with industrial robots at Carnegie Mellon University for a few years. She was close to making a big change. “I wanted to invent better ways to talk with machines who can make things. Industrial robots are some of the most adaptable and useful to do that,” she said.
Taming Robots, “It works overnight; the next morning it is tuned.” What’s more, the robots can cooperate and learn that much faster. Hido explained that eight robots working together for one hour can “learn” as much as one robot working for eight hours. Multiply that by a hundred or a thousand and you get a sense of the power of the technology. “Our project is oriented to distributed learning, you can imagine hundreds of factory robots sharing information,” Hido said. This type of distributed learning is known as “cloud robotics,” which is becoming a significant trend in industry, the report related.
Taming Robots, BRETT the robot is a knot-tying whiz; it can tie an overhand knot, square knot, figure 8, and hitch. Sure, there are robots out there that drive cars, detonate roadside bombs, and even collect rock samples from the surface of Mars, but what makes BRETT special is not what it can do, but how it came by its modest talents. BRETT (whose name stands for “Berkeley robot for the elimination of tedious tasks) resides in the lab of UC Berkeley robotics professor Pieter Abbeel, who envisions a future in which robots act as apprentices: watching us, learning from our actions, and refining their skills on their own. The concept is called apprenticeship learning, and on a recent trip to Abbeel’s lab, doctoral student Sandy Huang demonstrated how it works.
Taming Robots, and, they are also some of the most dangerous. The U.S. Department of Labor has a special website devoted to “Industrial Robots and Robot System Safety.” These robots are big, and they have to be programmed by people with years of training. That programming takes place “basically with a joystick,” according to Gannon. Programmers move the robot to a place, record a point and iteratively build up a motion path for the robots to remember. “Then the robot will repeat that task 24/7. That is their world,” Gannon said. But not anymore. Quipt replaces the joystick technique. Its software stitches together the robot with a motion capture system, which are cameras that look into a space and let the robot see where it is. “I gave this robot — this big, powerful dumb robot — eyes into the environment,” Gannon said.
Taming Robots, Huang placed a rope on a table in front of the 400-pound robot and hit a few keys. BRETT raised its mantis-like head and extended its arms. Members of Abbeel’s team had previously treated BRETT to 75 knot-tying lessons, each time holding its hands (or claw-like grippers) and carefully taking it through the motions. “It’s like with a kid,” Abbeel says.
“You don’t just tell a kid, ‘Hey, do this.’ You have to demonstrate the actions so the kid can watch and learn and later apply that knowledge.” s computer screen provided a window inside BRETT’s “brain.” Five images appeared showing ropes in varying positions, close matches picked from its database. BRETT then compared the demo images to the new rope position and devised an entirely new set of motions. It reached down, grabbed the ends of the rope, and—in three deliberate steps over a few minutes—tied a simple knot. It was hard not to cheer.
Taming Robots, When the robot looks with its motion-capture eyes, it sees tracking markers on a person’s hand or clothes. Now it can track a person while remaining a certain distance away, it can mirror a movement, or it can be told to avoid markers. Which means that potentially these robots are a lot safer — and a lot smarter. Gannon imagines a world where they aren’t just welding parts on an assembly line. “I think what’s really exciting is taking these machines off of control settings and taking them into live environments, like classrooms or construction sites,” Gannon said. Gannon collaborated with visiting artist Addie Wagenknecht and the Frank-Ratchye STUDIO for Creative Inquiry to develop a robot that could rock a baby’s cradle according to the sound of the baby’s cry.
Taming Robots, Deformable objects such as rope or fabric pose a challenge for robots because each time they encounter the same object it may appear different. Now Abbeel’s lab is working on an algorithm that will let BRETT learn how to fold laundry. “We’re not trying to solve laundry. We’re not trying to solve knot tying,” says Abbeel. “Ultimately, we want robots to be able to learn anything humans can demonstrate. That’s the beauty of it. That’s the goal.” The prospect of robo-butlers doing our chores has appeal, but Abbeel believes the technology will ultimately offer more meaningful applications, such as assisting the disabled or even performing unsupervised surgeries.
Taming Robots, This software is a cousin to another of Gannon’s projects that makes technology more hands-on — last year Gannon released Tactum, which takes the software guesswork out of 3-D printing. In fact, Tactum projects an image directly on your body, and with your own hands you can manipulate the image to make it fit or look exactly how you like. Together with a projector, which produces the image on your skin, and a sensor, which can detect your skin and how you’re touching it, the software updates the 3-D model that you’re creating. When you’re ready to print, you just simply close your hand and your design goes to the 3-D printer.
Taming Robots, Gannon was drawn to CMU’s College of Fine Arts when the School of Architecture added new fabrication equipment. “I felt like I had the keys to the candy shop,” she said. “My research is really playing in the field of computer science and robotics, but the questions I’m able to ask those specific domains is conditioned by my architectural background. It’s really a spatial answer, how to control or interact with a robot. That, in my mind, is an architectural answer to this problem,” she said. Golan Levin, director of the Frank-Ratchye STUDIO for Creative Inquiry at CMU, is one of Gannon’s doctoral thesis advisors. He thinks her work could change how people design architecture, clothing and furniture, as well as influence industrial design and the arts.
Taming Robots, And learning from real-time demonstrations is just the beginning. In the near future, Abbeel believes robots will learn new skills by finding instructional guides and videos on the Internet. In fact, Berkeley researchers are already collaborating on a massive database of robot-friendly educational information called “Robobrain.” “Once a robot really knows how to learn,” he says, “you can just give it a million computers and it can learn a million things at once.” If this is starting to sound like the plot of a sci-fi movie, Abbeel says not to worry; robots are not taking over tomorrow. “We’re just excited that they can tie a knot!” he says. “Just come and visit our lab and you’ll see why you don’t have to be scared.” If you do, BRETT will be there. Watching. And learning. And biding his time.
Taming Robots, “Madeline is remarkable for the way in which she brings together an acutely sensitive design intuition with a muscular ability to develop high-performance software,” Levin said. “The kind of work she is doing could not be achieved by a collaboration between a designer and engineer; it takes a single person with a unified understanding of both.” Stephen Lee, head of CMU’s School of Architecture, has a philosophy that students learn best when they learn by making. He has attended Gannon’s presentations and hired her to teach undergraduate architecture courses. “I think project-based learning and the maker culture are revolutionizing both the academy [K-12 & university] and practice [more slowly]. She is front and center in these new ways of learning and doing,” Lee said.