Assaf Biderman ‘05, associate director of the MIT SENSEable City Lab, discusses his startup Superpedestrian, a transportation robotics company that has developed electric scooters available in over 60 cities across the world. “I think we hit the holy grail of micromobility, which is detecting when you’re on the sidewalk every time and stopping or slowing the vehicle,” said Biderman.
National Geographic reporter Sadie Dingfelder writes that MIT scientists are using piezoelectric materials to develop a battery-free, underwater navigation system. “There are a lot of potential applications,” says Prof. Fadel Adib. “For instance, a scuba diver could use these sensors to figure out the exact place they took a particular picture.”
MIT researchers have developed a new technique for producing low-voltage, power-dense actuators that can propel flying microrobots, reports Danica D'Souza for Mashable. “The new technique lets them make soft actuators that can carry 80 percent more payload,” D’Souza reports.
Forbes contributor Stephanie MacConnell spotlights the work of research affiliate Shriya Srinivasan PhD '20 in a roundup of women under the age of 30 who are transforming U.S. healthcare. Srinivasan is “working on technology that will enable patients to control and even ‘feel’ sensation through their prosthetic limb,” notes MacConnell.
Wired reporter Matt Simon spotlights CSAIL’s ‘Evolution Gym,’ a virtual environment where robot design is entirely computer generated. “There’s a potential to find new, unexpected robot designs, and it also has potential to get more high-performing robots overall,” says Prof. Wojciech Matusik. “If you start from very, very basic structures, how much intelligence can you really create?”
MIT researchers have created a virtual environment for optimizing the design and control of soft robots, reports Prachi Patel for Scientific American. “The future goal is to take any task and say, ‘Design me an optimal robot to complete this task,’” says undergraduate Jagdeep Bhatia.
Ikigai, an MIT startup, is building automated workflows where human decision making will be a part of the process, reports Ron Miller for Tech Crunch. “What we saw is that there are use cases… [that involve] manual processes in the organizations that were extremely difficult to automate because a fundamental step involved humans making judgements or decisions with data, and where both the data and rules they’re operating on would change very often,” co-founder and CEO Vinayak Ramesh M.Eng ‘18, ‘12 tells Miller.
Tech Crunch reporter Brian Heater spotlights how CSAIL researchers have unveiled a testing simulator for soft robotic designs. “It offers some interesting insights into how compliant robots can adapt to different environmental changes,” writes Heater.
Forbes contributor Adi Gaskell writes that a new study by MIT researchers finds increased investment in robotics and automation-based technologies as populations age. Gaskell notes that: “the data shows a strong relationship between the age of the workforce, which was defined as the ratio of workers aged over 56 and those aged between 21 and 55, and the adoption of robotics in 60 different countries.”
Joseph Coughlin, director of the MIT AgeLab, and Luke Yoquinto, a research associate at the AgeLab, emphasize the importance of increased investment in aging-related research in an article for The Boston Globe. Coughlin and Yoquinto call for “ramping up age-related disease research across the board: not just in health care and robotics, but also in smart-home tech, user design, transportation, workplace technologies, education and training, and nutrition. R&D in these fields won’t just improve lives; it will also strengthen tomorrow’s economy.”
Writing for The Wall Street Journal, Prof. Kate Kellogg explores how managers can more effectively help their employees transition to using new technologies. “Managers need to realize that introducing emerging technologies such as artificial intelligence, data analytics and robotics aren’t straightforward,” writes Kellogg. “Managers who hope to successfully implement these technologies need to focus on issues of employee status and roles, and the amount of new work that will need to be done.”
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.
Popular Science reporter Charlotte Hu writes that MIT researchers have simulated an environment in which socially-aware robots are able to choose whether they want to help or hinder one another, as part of an effort to help improve human-robot interactions. “If you look at the vast majority of what someone says during their day, it has to do with what other [people] want, what they think, getting what that person wants out of another [person],” explains research scientist Andrei Barbu. “And if you want to get to the point where you have a robot inside someone’s home, understanding social interactions is incredibly important.”
MIT researchers have developed a new machine learning system that can help robots learn to perform certain social interactions, reports Brian Heater for TechCrunch. “Researchers conducted tests in a simulated environment, to develop what they deemed ‘realistic and predictable’ interactions between robots,” writes Heater. “In the simulation, one robot watches another perform a task, attempts to determine the goal and then either attempts to help or hamper it in that task.”
TechCrunch writer Devin Coldewey reports on the ReSkin project, an AI project focused on developing a new electronic skin and fingertip meant to expand the sense of touch in robots. The ReSkin project is rooted in GelSight, a technology developed by MIT researchers that allows robots to gauge an object’s hardness.