MIT robot’s flytrap gripper can grab both fragile and heavy objects

Robot hands tend to skew toward extremes. They can pick up delicate objects or heavy objects, but rarely both. MIT CSAIL's solution? Avoid hands altogether. Its researchers have developed a Venus flytrap-like gripper that can grab objects as frag...

AI faithfully recreates paintings with the help of 3D printing

It's easy to get a basic reproduction of a painting, but getting a truly accurate copy is harder than you think. Modern 2D printers typically only have four inks to work with, which simply won't do if you're trying to mimic a classic. Researchers at...

Honda teams up with MIT and others to develop curious AI

Honda is teaming up with three universities on a project aimed at developing curious artificial intelligence. The new three-year initiative, dubbed the Curious Minded Machine, will work towards an intelligent system that can learn continuously, much...

AI detects movement through walls using wireless signals

You don't need exotic radar, infrared or elaborate mesh networks to spot people through walls -- all you need are some easily detectable wireless signals and a dash of AI. Researchers at MIT CSAIL have developed a system (RF-Pose) that uses a neural...

MIT’s self-driving car can navigate unmapped country roads

There's a good reason why companies often test self-driving cars in big cities: they'd be lost most anywhere else. They typically need well-labeled 3D maps to identify curbs, lanes and signs, which isn't much use on a backwoods road where those feat...

New camera tech could help self-driving cars see around corners

Self-driving cars can detect much of the world around them, but they're inherently limited by their reliance on line-of-sight vision. They're not so good at spotting the visual cues that a car is just around the corner -- you might spot the encroach...