Researchers in CSAIL are developing a steering program for drones that allows them to process uncertainty and avoid hitting objects while flying autonomously. Called Nanomap, the drone uses depth measurements to determine the safest path. “This technique creates an on the fly map that lets the drone handle uncertainty as opposed to being ready in every situation,” writes John Biggs for TechCrunch.
Brian Heater for TechCrunch covers how researchers are creating a system that will allow robots to develop motor skills and process abstract concepts. “With this system, the robots can perform complex tasks without getting bogged down in the minutia required to complete them,” Heater writes.
CSAIL researchers have developed a new navigation method that allows drones to process less data, have faster reaction times, and dodge obstacles without creating a map of the environment they’re in, writes James Vincent of The Verge. “Because we’re not taking hundreds of measurements and fusing them together, it’s really fast,” said graduate student Peter Florence.
A drone navigation system developed by CSAIL researchers doesn’t rely on intricate maps that show the location of obstacles, but adjusts for uncertainties, reports Martin Finucane of The Boston Globe. The system could be used in “in fields from search-and-rescue and defense to package delivery,” notes Finucane.
CSAIL researchers have developed a mapping system for autonomous drones, writes Andrew Tarantola of Endgadet. Using depth-sensing technology to measure their immediate surroundings, the drone can “understand generally where it is in relation to obstacles and anticipate how it will need to change course to avoid them,” Tarantola explains.
As Steve Rosenbush notes in the Wall Street Journal, MIT Intelligence Quest hopes to answer two questions: “How does human intelligence work, in engineering terms? And how can we use that deep grasp of human intelligence to build wiser and more useful machines?” explains President Reif.
Dean Anantha Chandrakasan speaks with Kristin Toussaint of Metro about MIT Intelligence Quest. “When you bring together researchers from different disciplines, they end up collaborating and creating something very new that they individually couldn't have created,” said Chandrakasan.
“Intriguing is that [MIT IQ] brings together researchers who study both human intelligence and artificial intelligence. The hope is that better understanding both of them will help develop new algorithms and techniques that can be used broadly,” writes Sean Captain for Fast Company.
Jeff Engel writes for Xconomy about MIT’s ambitions for its newly announced Institute-wide initiative, MIT Intelligence Quest. “If we want A.I. breakthroughs, it’s going to take research in new science. That’s a central inspiration for MIT IQ,” said President Reif.
Mike Wankum of WCVB visits MIT to learn more about spinoff Pipeguard Robotics, which has developed a robot that can help detect leaky pipes before they burst. The robot can spot tiny holes within two feet of a leak while current systems, “can only find major leaks within a few hundred feet of a cracked line,” says Wankum.
Writing for The New York Times, Thomas Edsall highlights research by Profs. Daron Acemoglu and David Autor examining how automation and trade impacted the 2016 presidential election. “The swing to Republicans between 2008 and 2016 is quite a bit stronger in commuting zones most affected by industrial robots,” explains Acemoglu. “You don’t see much of the impact of robots in prior presidential elections.”
Tony Dokoupil of CBS This Morning visits MIT to learn more about how researchers are working on developing robots that will improve our daily lives. Dokoupil highlights how researchers are, “perfecting the material for a new breed of robot – one that's light and flexible,” adding that the researchers hope, “we'll be able to wear the robot like Tony Stark in ‘Iron Man’."
Reuters Video visits MIT to learn more about how researchers have developed a new robot, dubbed Jackal, which can navigate pedestrian traffic. Graduate student Michael Everett explains that the robot was designed to operate, “just like people do, so [it] fits in with the flow of traffic.”
Reporting for WBUR on the future of digital fabrication, Bruce Gellerman highlights a solar-powered architectural robot developed by MIT researchers. The robot can quickly design and build shelters for use in disaster-response situations or space exploration using a 3-D printing process.
Washington Post reporter Audrey Hoffer writes about Ori, the flexible robotic furniture system developed by MIT researchers. “We want to change the paradigm to living large in a small footprint. People think square footage and functionality are linearly related, but that’s the old paradigm,” says MIT alumnus and founder Hasier Larrea.