CNBC reporter Robert Ferris writes about how MIT researchers have developed a soft robotic hand that can identify and safely grasp delicate objects. Ferris explains that the researchers designed a “soft silicone ‘hand’ with embedded sensors that they can train to recognize different things.”
MIT CSAIL researchers have developed a silicon gripper that allows robots to grasp a wide variety of items, reports Nidhi Subbaraman for BetaBoston. Subbaraman explains that the hand expands “to accommodate a shape, and grasps radially – surrounding an object instead of picking it up with pincers.”
CNBC’s Robert Ferris reports that researchers at MIT and Boston Children’s Hospital have devised a new method to create 3-D heart models. The new technique allows doctors to 3-D print replicas of a patient’s heart within 24 hours, making it practical for hospital use, Ferris explains.
Researchers at MIT and Boston Children’s Hospital are developing a new technique to convert images from MRI scans into physical models of the human heart, writes Lindsay Kalter for The Boston Herald. “This can definitely impact clinical practice in terms of helping surgeons plan more efficiently,” explains graduate student Danielle Pace.
“Researchers from MIT and Boston Children’s Hospital say they’ve come up with a better, faster way to build heart models,” writes Barb Darrow for Fortune. The team has devised a method for 3-D printing model hearts from MRI scans that takes three to four hours compared to the 10 hours typically required using current methods.
Nidhi Subbaraman of BetaBoston reports on how MIT researchers have developed a fleet of self-driving golf carts. “The group road-tested a fleet of self-driving golf carts at a park in Singapore over six days,” writes Subbaraman.
Kelsey Atherton reports for Popular Science that MIT researcher have developed and tested a self-driving golf cart in a public garden in Singapore. Atherton writes that one potential use for the self-driving golf carts is a shared vehicle system where the carts would “drive people to their destination, and then either return or seek new riders.”
MIT researchers have developed a new algorithm that can prevent overexposed photos, reports Devin Coldewey for NBC News. The algorithm reconstructs the “parts of the image that would have been too bright, recovering a blue sky or reflection on a shiny object.”
Los Angeles Times reporter Jenn Harris writes that MIT researchers have developed a system that allows teams of robots to deliver items. Harris explains that the researchers hope their technique could be used to allow robots to aid in situations like “getting supplies and medicine across a battlefield in a war-torn country.”
MIT researchers have developed a technique that can eliminate the washed-out spots found in overexposed images, reports Curt Woodward for BetaBoston. The technique could not only be used in photography, but could also be used for other applications like helping a “self-driving car stay on course despite quick light changes, such as entering a tunnel.”
MIT researchers have developed a program that allows a team of robots to work together to serve drinks, reports Lorenzo Ligato for the Huffington Post. The researchers, “programmed the robots with complex planning algorithms, which allowed the machines to engage in higher-level reasoning about their location, status and behavior -- similarly to they way humans perform tasks.”
Brook Hays of UPI writes that researchers from MIT have developed a new program that allows teams of robots to work together to pour and deliver drinks. Hays explains that the robots are “programmed to anticipate what drinks are needed where, taking orders and delivering drinks with the greatest possible level of efficiency.”
Boston Globe reporter Kevin Hartnett writes that MIT researchers have shown it is impossible to create a faster version of the “edit distance” algorithm, which is used to compare the genomes of different species. Hartnett writes that the finding “has been greeted with something like relief among computer scientists.”
MIT researchers have developed a new algorithm that allows robots to work together to efficiently serve drinks, Nidhi Subbaraman writes for BetaBoston. Subbaraman explains that the technique provides a “smarter approach to collaboration, preparing for possible missteps like dropping a bottle, or picking up the wrong one.”
“Google And Massachusetts Institute of Technology have figured out a way to remove those annoying reflections and other image obstructions, including fences and rain drops, from photos,” writes Nitya Rajan for The Huffington Post. The algorithm uses a short video to separate the foreground and background of an image.