A mobile motor created by a team at the Massachusetts Institute of Technology (MIT) could change the way we view and build robots.
The robot consists of five tiny fundamental parts that have the ability to assemble and disassemble into different functional devices — with the end goal of having it build other, larger robots.
MIT Professor Neil Gershenfeld, who was a part of this groundbreaking project, said that he based the concept of how all forms of life are made up of 20 amino acids.
“It’s a fundamentally different way in how you build robotics systems,” Gershenfeld told Digital Trends.
It’s groundbreaking in the sense that the new system is a step closer to creating a standardized set of parts that could be used to both assemble other robots and to adapt to a specific sets of tasks.
Through the use of a tiny kit of parts, Gershenfeld, along with MIT graduate student Will Langford, created a motor that replicates muscle movements such as walking. It also has more advanced abilities, like being able to turn a gear wheel. Gershenfeld calls these “micro-Lego parts.” The robot is strong: it can lift seven times its weight. Even with all these capabilities, the motor can reassemble itself as specific needs change or it tackles different tasks.
“Along with structural parts, Will is making tiny building blocks that contain even smaller integrated circuits,” Gershenfeld said.
Langford presented the work Wednesday at the International Conference on Manipulation, Automation and Robotics at Small Scales in Helsinki, Finland.
“People have responded well at the conference,” Langford said. “In large part, it is thinking on a higher level than what a lot of other people are currently thinking in robotics. It adds a layer of abstraction.”
“People we have talked to have said it’s very liberating for the industry,” Gershenfeld added.
Langford said that the ultimate goal of the project is for this type of motor to make more of itself.
“Think of a 3D printer that can make electronics and robots…that’s very much where this is headed,” Gershenfeld said.
Its impact on the robotics world could create a make it easier for people to design and build their own robots, even if they lack extensive engineering expertise.
“Because it is a direct right process, you don’t need advanced skills and a complex supply chain,” Gershenfeld said. “It will help make robotics accessible to people.”
San Francisco startup Dimensional advertised for people to walk robot dogs through city streets. The New York Times reported that the job could include carrying a roughly 33-pound robot back to the office if it overheated. A lift home is an awkward requirement for a labor-saving machine.
Keeping the hardware running is only one challenge. Anthropic's robotics tests found that language models mostly failed when controlling joints directly, but did better when directing trained controllers. Giving an AI agent a body doesn't teach it to handle ordinary household objects.
Soon, a mattress protector may be more than a bed cover. Australian medtech company Sleeptite and researchers at RMIT University have received a US patent for FlexiSense, a smart bedding technology that tracks body position and posture to help caregivers identify when older residents may be at risk of falling.
The technology is being developed for Sleeptite’s in-bed monitoring system, REMi, and was recently on display at The MedTech Conference in Boston. A peer-reviewed study in Flexible and Printed Electronics says the sensors can also be made at scale without sacrificing performance or durability.
AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.
The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.