A new robotic system developed by CSAIL researchers uses UV-C light to kill viruses and bacteria on surfaces and aerosols, reports Darrell Etherington for TechCrunch. “Via cameras and sensors, the robot can map an indoor space, then navigate designed waypoints within that mapped area and disinfect as it goes, keeping track of the areas it has to disinfect,” writes Etherington.
MIT researchers have developed a new robotic system that uses a UV-C light fixture to disinfect surfaces at the Greater Boston Food Bank’s warehouse staging area, reports Matt Reed for WCVB. Research scientist Alyssa Pierson explains that the ultraviolet light "breaks apart the kind of outer incasing or shell of these pathogens."
MIT researchers have developed a new way to optimize how soft robots perform certain tasks. It "shrinks drastically the amount of computational overhead required to get good movement results out of soft robots,” writes Darrell Etherington for TechCrunch, “which is a key ingredient in helping make them partial to actually use in real-life applications.”
Profs. Thomas Malone and Erik Brynjolfsson discuss the future impact of humanoid robots on society with Jason Margolis of PRI’s The World. “The next 10 years could be the best 10 years we've ever seen or the worst decade, and that depends less on the technology and more on the choices we make,” Brynjolfsson says.
CSAIL’s RoboRaise robot can successfully execute the Bottle Cap Challenge, removing a bottle cap with a well-placed kick, reports Darrell Etherington for TechCrunch. Etherington explains that the robot, “can mirror the actions of a human just by watching their bicep. This has a number of practical applications, including potentially assisting a person to lift large or awkward objects.”
MIT researchers have created an ambulatory motor that can “walk” back and forth or make the gears of another machine move. “On its own, this little moving microbe is impressive enough,” writes Darrell Etherington for TechCrunch, “but its real potential lies in what could happen were it to be assembled with others of its ilk, and with other building-block robotics components made up of simple parts.”
Arielle Pardes of Wired speaks with research specialist Kate Darling about the popularity of robotic companions and the concerns about humans becoming emotionally attached to them. “Darling, who studies ethics in robotics at MIT, says it's human nature to feel those bonds with machines that mimic emotion,” writes Pardes.
A study co-authored by Prof. Cynthia Breazeal found that a “social robot” teddy bear “boosted spirits, eased anxiety and even lowered perceived pain levels” among Boston Children’s Hospital patients aged 3 to 10 years old, reports Robert Preidt for US News & World Report. “We want technology to support everyone who's invested in the quality care of a child," says Breazeal.
Paul Carter of BBC’s Click highlights CSAIL research to teach a robot how to feel an object just by looking at it. This will ultimately help the robot “grip better when lifting things like the handle of a mug,” says Carter.
Using a tactile sensor and web camera, MIT researchers developed an AI system that allows robots to predict what something feels like just by looking at it, reports David Williams for CNN. “This technology could be used to help robots figure out the best way to hold an object just by looking at it,” explains Williams.
Forbes contributor Charles Towers-Clark explores how CSAIL researchers have developed a database of tactile and visual information that could be used to allow robots to infer how different objects look and feel. “This breakthrough could lead to far more sensitive and practical robotic arms that could improve any number of delicate or mission-critical operations,” Towers-Clark writes.
MIT researchers have created a new system that enables robots to identify objects using tactile information, reports Darrell Etherington for TechCrunch. “This type of AI also could be used to help robots operate more efficiently and effectively in low-light environments without requiring advanced sensors,” Etherington explains.
Fast Company reporter Michael Grothaus writes that CSAIL researchers have developed a new system that allows robots to determine what objects look like by touching them. “The breakthrough could ultimately help robots become better at manipulating objects,” Grothaus explains.
Writing for Forbes, research affiliate Thomas Davenport examines the feasibility of robot taxation based on a debate at MIT Technology Review’s Emtech Next conference. “At some point we may need to replace the tax revenue from human jobs lost to automation,” writes Daveport. “If that day ever comes, I hope that the tax revenues issue is the most critical one we have to deal with.”
TechCrunch reporter Darrell Etherington writes that MIT researchers have developed a system that can predict a perso's trajectory. The tool could allow “robots that typically freeze in the face of anything even vaguely resembling a person walking in their path to continue to operate and move around the flow of human foot traffic."