MIT researchers have utilized a new reinforcement learning technique to successfully train their mini cheetah robot into hitting its fastest speed ever, reports Matt Simon for Wired. “Rather than a human prescribing exactly how the robot should walk, the robot learns from a simulator and experience to essentially achieve the ability to run both forward and backward, and turn – very, very quickly,” says PhD student Gabriel Margolis.
MIT researchers have created a new computer algorithm that has allowed the mini cheetah to maximize its speed across varying types of terrain, reports Shi En Kim for Popular Science. “What we are interested in is, given the robotic hardware, how fast can [a robot] go?” says Prof. Pulkit Agrawal. “We didn’t want to constrain the robot in arbitrary ways.”
MIT researchers have used a new reinforcement learning system to teach robots how to acclimate to complex landscapes at high speeds, reports Emmett Smith for Mashable. “After hours of simulation training, MIT’s mini-cheetah robot broke a record with its fastest run yet,” writes Smith.
CSAIL researchers developed a new machine learning system to teach the MIT mini cheetah to run, reports James Vincent for The Verge. “Using reinforcement learning, they were able to achieve a new top-speed for the robot of 3.9m/s, or roughly 8.7mph,” writes Vincent.
Gizmodo reporter Andrew Liszewski writes that CSAIL researchers developed a new AI system to teach the MIT mini cheetah how to adapt its gait, allowing it to learn to run. Using AI and simulations, “in just three hours’ time, the robot experienced 100 days worth of virtual adventures over a diverse variety of terrains,” writes Liszewski, “and learned countless new techniques for modifying its gait so that it can still effectively loco-mote from point A to point B no matter what might be underfoot.”
Popular Science reporter Tatyana Woodall writes that CSAIL researchers have developed electromagnetic bot blocks that can reconfigure into various shapes and could potentially help astronauts build in space. “The electromagnetic lining of the 3D printed frames allows cubes to seamlessly attract, repel, or even turn themselves off,” writes Wood. “One cube takes a little over an hour to make, and only costs 60 cents.”
PBS Nova premiered “Augmented,” a documentary film that features Prof. Hugh Herr and his research team’s work in developing brain controlled robotic limbs and reimagining amputation procedures. “Herr is teaming up with an injured climber and a surgeon at a leading Boston hospital to test a new approach to surgical amputation that allows prosthetic limbs to move and feel like the real thing,” writes PBS Nova.
Wall Street Journal reporter John Anderson spotlights “Augmented” a new PBS documentary featuring Prof. Hugh Herr and his work in robotic limbs and surgery.
A new documentary titled “Augmented” spotlights Prof. Hugh Herr and his work developing bionic limbs at the MIT Media Lab, reports Dana Gerber for The Boston Globe. “The long-term hope for the procedure is that people with Ewing amputations will be able to further adapt to the bionic limbs shown in the film, which Herr’s team is developing at MIT,” writes Gerber.
Prof. Julie Shah speaks with The Economist about her work developing systems to help robots operate safely and efficiently with humans. “Robots need to see us as more than just an obstacle to maneuver around,” says Shah. “They need to work with us and anticipate what we need.”
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?”