Laura Winkless writes for Forbes about the ways robots are changing life in urban areas. ROBOATs, the fleet of autonomous boats and floating structures developed by Prof. Carlo Ratti, “could offer an additional, low-cost way to once again integrate local canals and rivers into the urban landscape,” said Winkless.
CSAIL researchers have developed a system that allows robots to correct their mistakes based on input from the brainwaves of human operators, reports Wired’s Matt Simon. “It’s a new way of controlling the robot,” explains Prof. Daniela Rus, “in the sense that we aim to have the robot adapt to what the human would like to do.”
Anthony Cuthbertson of Newsweek writes that CSAIL researchers have developed a system that allows robots to change their actions based on feedback from the brain waves of a human operator. “Imagine robots or smartphones that could immediately correct themselves when you realize they’re making a mistake,” says PhD candidate Joseph DelPreto.
CSAIL researchers have developed a system that allows robots to detect brain signals generated by human operators, writes Oscar Williams of Huffington Post. The researchers hope the new system could “pave the way for more seamless interactions between robots and humans.”
A feedback system developed by CSAIL researchers allows humans to correct a robot’s mistakes using brain signals, writes Janet Burns for Forbes. The system could be used as a “communication method for those who can't use verbal means, such as immobilized or even 'locked in' victims of paralysis,” explains Burns.
MIT researchers have developed a device that allows humans to guide robots using brainwaves, reports Clive Cookson for the Financial Times. The prototype brain-computer interface “enables a human observer to transmit an immediate error message to a robot, telling it to fix a mistake when it does something wrong.”
New Scientist reporter Matt Reynolds writes that MIT researchers have developed a new brain-computer interface that enables people to correct robots’ mistakes using brain signals. “We’re taking baby steps towards having machines learn about us, and having them adjust to what we think,” explains Prof. Daniela Rus, director of CSAIL.
In this video, TechCrunch explores how MIT researchers are designing new techniques to make it easier for robots to grasp and manipulate objects. Graduate student Nikhil Chavan-Dafle explains that he and his colleagues developed a model that allows robots to “predict how an object is going to move in the grasp.”
Cynthia Graber writes for The Boston Globe Magazine that MIT researchers developed a robot to collect sewage samples, in an effort to gain a better understanding of public health problems. The samples can pinpoint harmful environmental factors as well as “neighborhoods with high rates of infectious diseases or even obesity, levels of illegal drug use, and pollutants.”
MIT researchers have developed a technique to make big data more manageable, writes Kevin Murnane for Forbes. The technique creates "coresets" that can be used by data analysis tools “often applied in computer vision, natural language processing, neuroscience, weather prediction, recommendation systems and more.”
In this WCVB segment, CSAIL postdocs Robert MacCurdy and Jeffrey Lipton explain their work developing a shock-absorbing material that could be used to help protect robots and smartphones, or in helmets. Liquid is used in the material to “absorb the energy and keep it inside,” Lipton explains.
Writing for The Huffington Post, Adi Gaskell highlights how CSAIL researchers have developed system to help robots work together successfully. Gaskell explains that the system allows three robots to “work successfully together to ensure items are delivered accurately in an unpredictable environment.”
In an interview with Wired’s Editor-in-Chief Scott Dadich, President Barack Obama sits down with Joi Ito, director of the MIT Media Lab, to discuss the future of artificial intelligence. “Everybody needs to understand that how AI behaves is important,” says Ito. “Because the question is, how do we build societal values into AI?”
To develop safer, more durable robots, CSAIL researchers have developed a technique to 3-D print robots with shock-absorbing skins, reports Matt McFarland for CNN. McFarland explains that as the “‘bumpers’ aren't rigid, it's less dangerous for a robot to crash into something.”
Popular Science reporter Mary Beth Griggs writes that researchers from MIT’s Computer Science and Artificial Intelligence Lab have developed a method to 3-D print robots with customized shock absorbers. The researchers hope that the “shock absorbing material could be used to create better shock absorbers for delivery drones, shock-resistant shoe soles, and even helmets.”