Prof. Daron Acemoglu highlights the economic and societal implications of integrating automation in the workforce, reports Taylor Nicole Rogers for The Financial Times. “Acemoglu says that robots’ current capabilities mean that those most at risk of being displaced are in blue-collar jobs and lack college degrees, which may make it difficult for them to shift into the high-tech roles likely to be created by automation,” writes Rogers.
Prof. Daniela Rus, director of CSAIL, speaks with NBC Boston reporter Colton Bradford about her work developing a new AI system aimed at making grocery shopping easier, more personalized and more efficient. “I think there is an important synergy between what people can do and what machines can do,” says Rus. “You can think of it as machines have speed, but people have wisdom. Machines can lift heavy things, but people can reason about what to do with those heavy things.”
Using a new technique developed to examine the risks of multimodal large language models used in robots, MIT researchers were able to have a “simulated robot arm do unsafe things like knocking items off a table or throwing them by describing actions in ways that the LLM did not recognize as harmful and reject,” writes Will Knight for Wired. “With LLMs a few wrong words don’t matter as much,” explains Prof. Pulkit Agrawal. “In robotics a few wrong actions can compound and result in task failure more easily.”
Researchers at MIT have developed a robot capable of assembling “building blocks called voxels to build an object with almost any shape,” reports Alex Wilkins for New Scientist. “You can get furniture-scale objects really fast in a very sustainable way, because you can reuse these modular components and ask a robot to reassemble them into different large-scale objects,” says graduate student Alexander Htet Kyaw.
Researchers at MIT have developed a new virtual training program for four-legged robots by taking “popular computer simulation software that follows the principles of real-world physics and inserting a generative AI model to produce artificial environments,” reports Jeremy Hsu for New Scientist. “Despite never being able to ‘see’ the real world during training, the robot successfully chased real-world balls and climbed over objects 88 per cent of the time after the AI-enhanced training,” writes Hsu. "When the robot relied solely on training by a human teacher, it only succeeded 15 per cent of the time.”
Researchers at MIT have developed a new model for training robots dubbed Heterogeneous Pretrained Transformers (HPT), reports Brain Heater for TechCrunch. The new model “pulls together information from different sensors and different environments,” explains Heater. “A transformer was then used to pull together the data into training models. The larger the transformer, the better the output. Users then input the robot design, configuration, and the job they want done.”
MIT researchers have developed a new training technique called Heterogeneous Pretrained Transformers (HPT) that could help make general-purpose robots more efficient and adaptable, reports Christopher Isak for TechAcute. “The main advantage of this technique is its ability to integrate data from different sources into a unified system,” explains Isak. “This approach is similar to how large language models are trained, showing proficiency across many tasks due to their extensive and varied training data. HPT enables robots to learn from a wide range of experiences and environments.”
Researchers at MIT have developed “Clio,” a new technique that “enables robots to make intuitive, task-relevant decisions,” reports Jennifer Kite-Powell for Forbes. The team’s new approach allows “a robot to quickly map a scene and identify the items they need to complete a given set of tasks,” writes Kite-Powell.
Researchers at MIT have developed a “set of wearable robotic limbs to help astronauts recover from falls,” reports Amy Gunia for CNN. “The so-called ‘SuperLimbs’ are designed to extend from a backpack containing the astronauts’ life support system,” explains Gunia. “When the wearer falls over, an extra pair of limbs can extend out to provide leverage to help them stand, conserving energy for other tasks.”
On October 8, the MIT Museum is hosting a “Techno, Art, and Music Robots talk with artist and engineer Moritz Simon Geist,” reports The Boston Globe. The talk will focus on “the intersection of music and robotics,” writes The Boston Globe.
Researchers at MIT have developed a new method that “enables robots to intuitively identify relevant areas of a scene based on specific tasks,” reports Baba Tamim for Interesting Engineering. “The tech adopts a distinctive strategy to make robots effective and efficient at sorting a cluttered environment, such as finding a specific brand of mustard on a messy kitchen counter,” explains Tamim.
Researchers at MIT have developed “AstroAnts,” autonomous, magnetic, robotic rovers roughly the size of a Hot Wheels toy car designed to monitor space vehicles and other hard-to-reach machinery, reports Jesus Diaz for Fast Company. “The idea is that, by constantly watching over the temperature and structural integrity of their cosmic rides, spaceships will be more resilient to the extreme conditions of space and astronauts will be safer,” explains Diaz.
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.”