Robotics

Boston Globe columnist Scott Kirsner spotlights Prof. Mitchel Resnick, Prof. Neil Gershenfeld, and the late Prof. Emeritus Woodie Flowers and their work developing programs that “get kids excited about, and more proficient in, STEM.” Kirsner underscores: “Each of the initiatives brings some of the hands-on problem solving, messiness, and collaborative prototyping elements of MIT’s culture into the wider world. And they’ve all had a big impact on the way kids learn about technology.”

Prof. Michael Strano joins “Somewhere on Earth” podcast host Gareth Mitchell to discuss how he and his colleagues developed tiny batteries that could be used to power cell-sized robots. Roughly the thickness of a human hair, the new battery can create a current by capturing oxygen. “I would say we're making the LEGOs, the building blocks that go into robots,” Strano says. “We’re building the parts and it's an exciting time for the field.”

Researchers at MIT have developed tiny batteries capable of powering cell-sized robots that can “execute tasks as varied as targeting drug delivery inside the human body to checking pipelines for gas leaks,” reports Brian Heater for TechCrunch. “Despite the barely visible size, the researchers say the batteries can generate up to 1 volt, which can be used to power a sensor, circuit or even a moving actuator.”

The final round of the Zero Robotics competition at the MIT Media Lab featured high school students from around the country facing off in a programming challenge using the SPHERES satellites aboard the International Space Station, reports Glenn Jones for NBC Boston. The event “welcomed about 70 middle schoolers from diverse backgrounds to participant in the finals of a robotics competition that featured live dialogue with astronauts on the International Space Station.”

MIT researchers have developed “a robotic system that can rotate different types of fruit and vegetable using its fingers on one hand, while the other arm is made to peel,” reports Alex Wilkins for New Scientist. “These additional steps of doing rotation are something which is very straightforward to humans, we don’t even think about it,” Prof. Pulkit Agrawal. “But for a robot, this becomes challenging.”

Researchers at MIT have developed a new method for “training home robots in simulation,” reports Brain Heater for TechCrunch. “Simulation has become a bedrock element of robot training in recent decades,” explains Heater. “It allows robots to try and fail at tasks thousands — or even millions — of times in the same amount of time it would take to do it once in the real world.” 

Ivan Casadevantre MS '15 and Hasier Larrea MS '15 co-founded ORI Living – a furniture company that uses electromechanics to develop furniture systems designed for space efficiency. “You have to make those small spaces feel and act as if they were much larger,” says Larrea. “And that’s when we started thinking about robotics, thinking about engineering, and how we bring all those technologies to make it possible to live large in a smaller footprint.” 

MIT scientists have created RoboGrocery, a robot prototype that can pack a bag of standard groceries, reports Mack DeGeurin for Popular Science. Using an RGB-D camera equipped with computer vision technology and grippers with pressure sensors, RoboGrocery’s “ability to assess items, determine their delicacy, and pack efficiently without causing damage sets it apart from conventional robotic packers,” explains Prof. Daniela Rus. 

Researchers from MIT have developed RoboGrocery, a soft robotic system that “can determine how to pack a grocery item based on its weight, size and shape without causing damage to the item,” reports Jennifer Kite-Powell for Forbes. “This is more than just automation—it's a paradigm shift that enhances precision, reduces waste and adapts seamlessly to the diverse needs of modern retail logistics,” says Prof. Daniela Rus, director of CSAIL. 

MIT scientists have developed a “four-fingered robotic hand which is capable of rotating balls and toys in any direction and orientation,” reports Maisie Lillywhite for BBC News. “The improvement in dexterity could have significant implications for automating tasks such as handling goods for supermarkets or sorting through waste for recycling,” Lillywhite writes.

DragonBot, an AI tool developed by the MIT Personal Robotics Group, “is designed to teach children empathy and social skills,” reports Neil Sahota for Forbes. “These interactions, while mediated through technology, are invaluable in nurturing the social and emotional growth of children,” writes Sahota.

Cofounded by postdoctoral associate Wen Shuhao and postdoctoral fellows Ma Jian and Lai Lipeng, biotech startup Xtalpi "combines AI, quantum physics, cloud computing and robotic automation to find novel molecules that could be developed into new medicines,” reports Zinnia Lee for Forbes. “Xtalpi has also recently expanded into discovering new chemical compounds for applications such as agriculture, cosmetics, healthcare, as well as petrochemicals and new materials for electric vehicle batteries,” writes Lee.

Reporting in Portuguese, Correio Braziliense highlights researchers at MIT who have developed a new technique that uses light stimuli to benefit people with paralysis or amputations. “Our work could help bring the use of optogenetics closer to humans in the realm of neuroprosthetics that control paralyzed muscles and other functions of the peripheral nervous system,” says graduate student Guillermo Herrera-Arcos. 

Researchers at CSAIL have created three “libraries of abstraction” – a collection of abstractions within natural language that highlight the importance of everyday words in providing context and better reasoning for large language models, reports Darren Orf for Popular Mechanics. “The researchers focused on household tasks and command-based video games, and developed a language model that proposes abstractions from a dataset,” explains Orf. “When implemented with existing LLM platforms, such as GPT-4, AI actions like ‘placing chilled wine in a cabinet' or ‘craft a bed’ (in the Minecraft sense) saw a big increase in task accuracy at 59 to 89 percent, respectively.”