Skip to Content
Artificial intelligence

Boston Dynamics buys a better brain for its robots

The world’s most agile robots are about to get a lot smarter thanks to the purchase of a startup focused on computer vision and machine learning.
April 2, 2019
Boston Dynamics

It is famous for making acrobatic, eerily lifelike, and somewhat accident-prone robots. Now Boston Dynamics is buying technology that could give its creations the brains they need to navigate the real world.

The company announced today that it is acquiring California-based startup Kinema Systems, which makes computer-vision and machine-learning systems for warehouse robots. The acquisition sees Boston Dynamics move into commercial sales for the first time—until now it has only sold technology to researchers—as well as establishing an outpost on the West Coast.

Kinema sells its technology to companies to help them move boxes that arrive in bulk at warehouses and factories. Shifting goods from a pallet and into storage is a complicated challenge for robot workers because boxes may be of different sizes, covered in stickers, and stacked irregularly. Worse still, the lighting may vary significantly from one installation to another, making it hard to comprehend the task.

Kinema addresses this problem using a combination of conventional cameras, 2D and 3D computer-vision algorithms, and machine learning. Its systems allow a robot to figure out for itself where one box ends and another begins (see “Self-taught robot is ready to seize a warehouse job”).

Boston Dynamics recently revealed its latest robot, a wheeled platform called Handle, which was shown rolling through a warehouse and moving boxes between shelves with a suction system.

Marc Raibert, the company’s founder and the inventor of the dynamic balancing technology that underpins all Boston Dynamics robots, says Kinema’s technology and expertise could prove crucial to making his machines more practical. Today the company’s robots, most of which have two or four legs, are brilliant at rebalancing themselves. They rapidly reposition their legs in response to a slip or a nudge, which lets them walk on even treacherous terrain such as ice without falling over. But they remain very expensive, have little ability to navigate, and mostly rely on human operators for guidance.

“All our robots need better vision,” Raibert told MIT Technology Review. “We’ve been hiring people, but buying this company is another way to get people.”

Raibert says his team was impressed with the way Kinema’s system worked in different conditions. And Kinema’s technology has potential applications outside the warehouse, such as enabling a robot to see what it needs to move through other environments.

Boston Dynamics will continue selling the platform and technology currently offered by Kinema, he says, while trying to integrate it into systems like Handle. Raibert believes this process, which could help Handle navigate unfamiliar warehouses for itself, should take around a year.

Raibert pioneered the concept of dynamic balancing in machines, leading influential research labs at both Carnegie Mellon and MIT. His company worked largely in secrecy for many years and was mostly funded by the US Defense Department.

In 2013, Boston Dynamics was one of several robotics companies acquired by Google in a sudden spending spree before being sold to the Japanese conglomerate SoftBank in 2017. The company’s robots played a prominent role in a DARPA-sponsored robotics competition held from 2012 to 2015.

Deep Dive

Artificial intelligence

conceptual illustration showing various women's faces being scanned
conceptual illustration showing various women's faces being scanned

A horrifying new AI app swaps women into porn videos with a click

Deepfake researchers have long feared the day this would arrive.

storm front
storm front

DeepMind’s AI predicts almost exactly when and where it’s going to rain

The firm worked with UK weather forecasters to create a model that was better at making short term predictions than existing systems.

People are hiring out their faces to become deepfake-style marketing clones

AI-powered characters based on real people can star in thousands of videos and say anything, in any language.

Tentacle of Octopus
Tentacle of Octopus

What an octopus’s mind can teach us about AI’s ultimate mystery

Machine consciousness has been debated since Turing—and dismissed for being unscientific. Yet it still clouds our thinking about AIs like GPT-3.

Stay connected

Illustration by Rose WongIllustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.