MIT researchers have developed a robot that can learn how to successfully play Jenga, reports Brian Heater for TechCrunch. “The robot has to learn in the real world, by interacting with the real Jenga tower,” explains Prof. Alberto Rodriguez. “The key challenge is to learn from a relatively small number of experiments by exploiting common sense about objects and physics.”
Gizmodo reporter Andrew Liszewski writes that MIT researchers have developed a robot that can play Jenga using visual and physical cues. The ability to feel “facilitated the robot’s ability to learn how to play all on its own, both in terms of finding a block that was loose enough to remove, and repositioning it on the top of the tower without upsetting the delicate balance.”
MIT researchers have developed a robot that can play Jenga by combining interactive perception and manipulations, reports Mattha Busby for The Guardian. “In what marks significant progress for robotic manipulation of real-world objects, a Jenga-playing machine can learn the complex physics involved in withdrawing wooden blocks from a tower through physical trial and error,” Busby explains.
Principal Research Scientist Andrew McAfee speaks with NBC's Stephanie Ruhle about the ways robots are changing work. “The hollowing out of the middle class has not yet been replaced by middle class 2.0,” says McAfee. “That should be our real homework going forward, not trying to demonize the automation or the technology.”
A new robot developed by MIT researchers uses AI and sensors to play the game of Jenga, reports Rob Verger for Popular Science. “It decides on its own which block to push, [and] which blocks to probe; it decides on its own how to extract them; and it decides on its own when it’s a good idea to keep extracting them, or to move to another one,” says Prof. Alberto Rodriguez.
Wired reporter Matt Simon writes that MIT researchers have engineered a robot that can teach itself to play the game of Jenga. As Simon explains, the development is a “big step in the daunting quest to get robots to manipulate objects in the real world.”
Writing for Forbes, Prof. David Mindell explores the concept of using work, in particular the duties a home health aide performs, as a Turing test for the abilities of AI systems. “In this era of anxiety about AI technologies changing the nature of work,” writes Mindell, “everything we know about work should also change the nature of AI.”
Prof. Daniela Rus and R. David Eldeman, director of the Project on Technology, Economy, and National Security at MIT speak with Matt Simon at Wired about working with robots. “The robots have a fixed architecture and they have a fixed vocabulary,” explains Rus. “So, people will continue to have to learn that and understand what the tool is useful for.”
CBS Boston reporter Dr. Mallika Marshall spotlights research by researchers at MIT and Brigham and Women’s Hospital to develop robotic prosthetic limbs controlled by the brain. “It’s a wonderful experience as a researcher,” explains Herr of the work’s impact. “They walk away and start crying or laughing and giggling and say, ‘my gosh I have my body back, I have leg back, I have my life back.’”
Prof. Erik Brynjolfsson speaks with Gizmodo reporter Brian Merchant about the 2018 AI Index report, which examines trends in the field of AI. Brynjolfsson says that when it comes to the impact of automation on the labor market, “developing countries are likely to be the hardest hit—they are the ones that depend most on low wages to compete in manufacturing.”
Popular Mechanics reporter Jill Kiedaisch writes that MIT researchers have developed a plant cyborg, named Elowan, that can move itself towards sources of light. Kiedaisch writes that Elowan “could elevate how we interface with the world around us, leveraging the natural abilities of plants to inform how we animals express our own agency to live, and keep living, perhaps a bit more symbiotically.”
Prof. Julie Shah and Principal Research Scientist Andrew McAfee speak with Miles O’Brien of the PBS NewsHour about how robots can be used to augment human capabilities in the workplace. Shah explains that she is developing technology that enables robots to “integrate and work effectively with the person, so that they can accomplish the task together.”
Media Lab researchers have created a new robotic plant, dubbed Elowan, that acts like a light sensor, reports Katharine Schwab for Fast Company. Schwab explains that the new plant-robot hybrid, “shows that technologists can use signals that already exist in nature–like the plant’s light-sensing capacity–to create an entirely new kind of organic interface.”
Motherboard reporter Caroline Haskins writes that Media Lab researchers have developed a new plant-robot hybrid that uses electrodes, a robot and wheels so that it can move itself towards light. Haskins explains that “bioelectrochemical signals from the plant that respond to light…are routed to a robot underneath the plant, and wheels take the plant to a spot best-suited for its survival.”
The Today Show highlights Spyce, a restaurant started by four MIT alumni where “robots prep and cook the meal and a team member completes it,” explains Sheinelle Jones. “What we are automating are the tough, repetitive monotonous jobs,” says co-founder Michael Farid, “to allow people to focus on what people are really good at - customer service, creativity, the presentation of your bowl.”