Robots may be the new best friend for forgetful humans. MIT researchers have developed a long-term memory framework for robots that can help them build a detailed mental model of large, complicated spaces. The system is called DAAAM, short for Describe Anything, Anywhere, Anytime, at Any Moment, and the goal is to let robots remember objects, locations, and details over time.
This might not sound headline-grabbing, though robots are still surprisingly bad at something humans do casually. You may remember that your keys were on the kitchen counter last night, or that a half-finished part was left in a factory bin. However, a robot working beside you would struggle to connect that object and location in a useful way.
A map robots can actually interpret
DAAAM tries to fix this by combining two things robots already use, namely computer vision and 3D mapping. As a robot moves through an environment, it attaches detailed language descriptions to objects it sees and stores them in a spatial map. So rather than just knowing there is an object at a coordinate, the robot may remember that there is a red bicycle with a flat tire near a specific building, or that a certain tool was seen in a particular work area.
A person could then ask something like, “Where did I leave my wallet?” or “Go grab the component we started assembling last night,” and the robot could search its memory for the right object and location.
It’s not ready for your home… yet
MIT’s DAAAM can run fast enough for a mobile robot to use in real time. The researchers also found that it answered questions more accurately than current methods, depending on the type of query. Still, this is not a feature coming to your robot vacuum next week. The work was presented at the Conference on Computer Vision and Pattern Recognition, and the paper is available as a preprint.
Researchers are still working on improvements, including giving the system better confidence levels and helping it remember significant events in an environment. For now, the idea is pretty interesting. AI is the buzzword now, but intelligence that’s useful in a more real-world way does sound more appealing.
