Robots Have Started Teaching Other Robots New Skills. In an important advance that takes us one step closer to the inevitable robopocalypse, MIT researchers have developed a system that teaches robots how to acquire new skills—and then teach those skills to different types of robots. The system is called C- LEARN, and it was developed by researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). In an important advance that takes us one step closer to the inevitable robopocalypse, MIT researchers have developed a system that teaches robots how to acquire new. Using C- LEARN, people who have no experience with computer programming can teach a robot how to perform a task—like dropping a flask into a bucket, or pulling a rod from a container—by providing it with some basic rules about the task, and allowing the robot to view a single demonstration of the task being completed. Incredibly, a robot can then transfer this newly- acquired knowledge to another robot, even if the robot learning is physically different than the robot teaching. Eventually, the C- LEARN system could allow factories to utilize a host of different robot types, and not have to worry about programming each and every one of them individually. It could also help robots to quickly learn and teach new tasks in high pressure situations, such as when they’re busy exterminating the entire human species, or more practically, when they’re defusing bombs. On their own, these teaching strategies come with drawbacks. With demos, robots can’t really apply lessons to other situations or environments, and with motion- planning methods, the teaching is time consuming and labor intensive. CSAIL researchers Claudia P. The first step of the teaching process is to provide a robot with information on how to reach or grasp various objects with different constraints (the “C” in C- LEARN actually stands for constraints). 110480 de 51484 Paulo 49074 São 46318 do 40723 Brasil 38043 da 37922 Da 35214 US$ 33367 Folha 2900 Local 19724 Reportagem 1790 José 15364. Career advice, tips, news and discussion is coming soon More Career Information. Salaries; Interview Questions; Sample Resumes; Jobs. Job Interview Practice Test Why Do You Want This Job? Answer this job interview question to determine if you are prepared for a successful job interview. Store & share your files with uploaded.net Learn more about our services (video). For example, even though certain objects may be similar in terms of shape, like a steering wheel or tire, a different set of movements is required when attaching these parts to a car. For the second stage, a human operator uses a 3. D user interface to show the robot how to complete the task. In tests, after observing a single demo, robots were able to access their knowledge base, and make a suggested movement for the operator to approve or modify as needed. If there’s no operator, the robot can just make a guess (when just guessing, MIT’s test robots were successful 8. In the lab, the CSAIL researchers taught a set of tasks to Optimus, a two- armed robot designed for bomb disposal tasks. Later, it seamlessly transferred this knowledge to Atlas, an imposing bipedal robot that weighs over 4. By the end of the experiment, both robots were able to open doors, transport objects, and pull objects from containers—even though the robots had dramatic physical differences, and Atlas was never directly taught the skills by a human. We don’t repeat each physical action we’re taught in a literal way. Instead, we integrate what we’ve learned through demonstrations, and then apply our knowledge to similar contexts. A paper describing C- LEARN has been accepted to the IEEE International Conference on Robotics and Automation (ICRA), which will take place from May 2. June 3 in Singapore.
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