MIT researchers have been working on something truly life changing: dough-rolling robots. It's not just about making pizza, but perhaps some day in the near future, you could have one of the most advanced AI's to date prepping your takeout. Could a robot ever truly replace the extraordinary pizza spinning skill of our own meat-bag professionals, though?

The project, named DiffSkill, is still in its early stages. As the report from MIT News notes, it's not so easy teaching a robot to work with a deformable object. That's because the subject matter is always changing shape and consistency, so the neural network needs to adapt on the fly.

Right now, it takes AI long enough to learn an unchanging assault course, let alone keep up as the task changes before it.

Of course, we have self driving cars that can adapt to their environment as it changes, so it's not a wholly impossible task. And at least there's less risk involved with designing a robot that just chops and rolls dough, but it's still a task that comes with it's fair share of hurdles.

It involves two stages: A 'teacher' algorithm first lays out the necessary steps for the task, before a 'student' machine-learning model turns those steps into reality, learning abstractly about when and how each step should be undertaken.

One author of the DiffSkill research paper, Yunzhu Li, explains "This method is closer to how we as humans plan our actions." We have a higher-level planner that roughly tells us what the stages are and some of the intermediate goals we need to achieve along the way, and then we execute them."

Li's Co-author, Xingyu Lin, notes "Our framework provides a novel way for robots to acquire new skills. These skills can then be chained to solve more complex tasks which are beyond the capability of previous robot systems."

Basically, it's not about making faster pizza. The purpose of the project has been to reduce the time it takes for AI to learn complex tasks, and it appears to have succeeded. But anyone who's ever made a pizza knows there's more to it than just chopping and rolling. There's a certain amount of love, and care that goes into it. The art of kneading and spinning dough to perfection is something people spend years learning.

PEAK STORAGE

(Image credit: Future)

What's slightly concerning, is that the repot suggests the method could be applied to other tasks that involve robots who need to "manipulate deformable objects." The example given? "A caregiving robot that feeds, bathes, or dresses someone elderly or with motor impairments."

First of all, I've never heard of the elderly referred to as a 'deformable object' before.

And, although it's impressive how we're moving into an age in which neural networks can teach themselves such intricate, adaptive tasks, it's a little worrying. Particularly after checking out some of the screwy gifs of it 'working,' the idea of entrusting our elderly to the care of robots, however smart, is daunting to say the least.

Of course, I'm all for the robotics revolution. I'm just hoping the neural network gets it right with test dummies before they unleash it on our most vulnerable.

Katie Wickens

Screw sports, Katie would rather watch Intel, AMD and Nvidia go at it. She can often be found admiring AI advancements, sighing over semiconductors, or gawping at the latest GPU upgrades. She's been obsessed with computers and graphics since she was small, and took Game Art and Design up to Masters level at uni. Her thirst for absurd Raspberry Pi projects will never be sated, and she will stop at nothing to spread internet safety awareness—down with the hackers.