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Washington Post reporter Pranshu Verma writes that a new study by MIT researchers finds the “future energy required to run just the computers on a global fleet of autonomous vehicles could generate as much greenhouse gas emissions as all the data centers in the world today.”
MIT’s mini cheetah robot was taught how to goal keep using simulation, reports Emmett Smith for Mashable. “The robot was able to block 87.5 percent of the shots taken, which is just slightly above the best professional goalies in the English Premiere League,” writes Smith.
In a new paper, MIT researchers detail the use of reinforcement learning to teach MIT’s mini cheetah robot to play goalie in a soccer match, reports Brian Heater for TechCrunch. “In this work, we focused solely on the goalkeeping task, but the proposed framework can be extended to other scenarios, such as multi-skill soccer ball kicking,” the researchers explain.
Loh Down on Science host Sandra Tsing Loh spotlights Prof. Cathy Wu and graduate student Vindula Jayawardana and their work developing a new method for self-driving vehicles that would help minimize idling at red lights. “In their method, self-driving can be taught to minimize stops at red lights. To make this work, traffic lights and self-driving cars would have sensors. This would let them check in with each other on their surroundings,” says Loh.
TechCrunch reporters Kyle Wiggers and Devin Coldewey spotlight how MIT researchers developed a new technique for simulating an overall system of independent agents: self-driving cars. “The idea is that if you have a good amount of cars on the road, you can have them work together not just to avoid collisions but to prevent idling and unnecessary stops at lights,” write Wiggers and Coldewey.
MIT researchers developed a new control system for the mini robotic cheetah that allows the robot to jump and traverse uneven terrain, reports Jules Suzdaltsev for Mashable. “There’s a camera for processing real-time input from a video camera that then translates that information into body movements for the robot,” Suzdaltsev explains.
Writing for The Hill, Prof. Sanjoy Mitter, Prof. Munther Dahleh, research affiliate Le Xie and their colleagues underscore the need to build a “resilient energy ‘superhighway,’ an electric grid that delivers a wide portfolio of energy supplies to the end users in a reliable manner.” They add that: “Investments are needed both in building the backbone interconnections, as well as in upgrading the ‘last mile’ distribution grid.”
Engadget reporter Jon Fingas writes that MIT researchers have developed a tiny computer chip small enough to fit on a honeybee-sized drone that can help the drone navigate. The technology could eventually be applied to, “smart pills that navigate to where they're needed, or virtually any vehicle that may need to last for a very long time on one battery charge.”
MIT researchers have developed a virtual reality system that can train drones to fly faster while also avoiding obstacles, reports Lauren Barack for Salon. Barack explains that the “researchers are programming the drones so they think they're in a living room or bedroom while they fly. They virtually see obstacles around them, but those impediments aren't really there.”
MIT researchers are using virtual reality to train autonomous drones to fly in a variety of environments, writes Steven Melendez for Fast Company. Future tests may train the drone to fly safely around humans “as if they were in the same area, enabling it to practice sharing a space without actually endangering any human lives,” Melendez notes.
Anant Agarwal, president of edX, and Kalyan Veeramachaneni, a principal research scientist at LIDS, are featured on Fast Company’s 2017 list of the “Most Creative People in Business.” Agarwal is celebrated for “mastering online education,” and Veeramachaneni for developing a system that enables humans and AI to work together to detect possible security threats.
Boston.com reporter Sanjay Salomon writes about how “Duckietown,” a model city developed by MIT researchers, could help make self-driving cars a reality. “We realized if you scale down autonomous driving to something very small there’s lots of research to do on a smaller scale with none of the logistical challenges of real autonomous vehicle research,” explains postdoc Liam Paull.
Popular Science reporter Mary Beth Griggs writes that in an MIT course students developed a fleet of duckie-adorned self-driving taxis for a village called “Duckietown.” “Each of the robot taxis is equipped with only a single camera, and makes its way around the roads without any preprogrammed maps."
Boston Globe reporter Kevin Hartnett writes about a new study co-authored by MIT researchers that envisions a future without traffic lights. “When sensor-laden vehicles approach an intersection, they can communicate their presence and remain at a safe distance from each other, rather than grinding to a halt at traffic lights,” explains Prof. Carlo Ratti.
Popular Science reporter Kelsey Atherton writes that MIT researchers have developed a model that would allow cars to travel through intersections by communicating with one another, eliminating the need for traffic lights. “Rather than traffic lights working as valves dictating which stream can flow, the cars themselves are adjusted, cleanly separated and passed along,” Atherton explains.