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.
Fortune reporter David Morris writes that MIT researchers have developed a technique for producing temporary tattoos that can serve as computer interfaces. The researchers “used gold leaf to construct a range of sensing surfaces for capacitive touch input, conductors for heat-sensitive displays, and antennae for short-range wireless communications.”
MIT researchers have been awarded a new NSF grant to develop robots that can serve as reading companions for children, reports Lindsey Kratochwill for Popular Science. The study, led by Prof.Cynthia Breazeal, aims to advance the fields of autonomous storytelling and human-robot interaction.
TechCrunch's Darrell Etherington writes about WaitChatter, a program developed by researchers at MIT CSAIL that leverages unoccupied time by teaching users a new language. WaitChatter “uses a Google Chat extension to offer up quick vocabulary learning lessons right in your IM chat window.”
Nidhi Subbaraman writes for BetaBoston about WaitChatter, a new application developed by MIT students that could help teach users a foreign language while they chat online. “The application uses the brief window when the ellipses dominate the screen as an opportunity to spring a vocabulary quiz,” Subbaraman explains.