Invention by James Dyson

Author:James Dyson
Language: eng
Format: epub
Publisher: Simon & Schuster
Published: 2021-08-12T00:00:00+00:00

Working with world expert in the pioneering field of vision technology Professor Andrew Davidson at Oxford, we eventually launched the Dyson 360 Eye robot vacuum cleaner in 2016 and four years later we updated it with the improved Dyson Heurist robot vacuum. These machines use vision-based mapping, Dyson-designed algorithms, and our proprietary 360-degree camera. They are first and foremost highly effective vacuum cleaners, but they also have intelligence and can see, understand, and learn the layout of homes so that they can clean thoroughly and efficiently using the Dyson Digital Motor and efficient lithium-ion batteries. They avoid obstacles—humans and pets, too—and return by themselves to the docking station when low on power. The Dyson 360 Heurist robot vacuum uses LED lights, combined with its 360-degree camera, to map in low light levels, for example, under a sofa or bed. The Dyson 360 Eye robot vacuum returns to its charging station and sets off again once recharged. We have received some lovely responses from customers. One Japanese customer built a charming little garage for his Dyson robot. Appearing to be real-life characters, they are often regarded fondly, a first, I think, for a vacuum cleaner.

Today, we work with more than twenty universities, such as Imperial College London, to where Andrew moved from Oxford and where we have a dedicated Dyson lab. We have major programs under way in Singapore and we’ve developed our own research and development hub at our Hullavington Airfield campus in Wiltshire, the biggest of its kind in the U.K. These teams draw on an increasingly global group of software engineers, who write the code to bring it to life. We’re experimenting with various robots and all the technologies needed to make these far more useful in the home than they have been to date.

Meanwhile, there’s still a long way to go with robotic cleaners. They can’t climb stairs nor can they lift themselves off the floor. A home is about as difficult and unpredictable an environment for a robot as you can get. Most robots work in controlled conditions, like our digital motor factories, but when working at home, and while it maps and learns the domestic terrain, the robot never knows quite what to expect from one moment to the next—socks, rugs, Legos, stairs, phone-charging cables, and pets.

We like our intelligent machines to do as much of the work for users as possible, without intervention. Our purifiers, for example, continually “sniff” the air and respond to the pollutants and volatile organic compounds they sense. They respond in real time to filter the air and provide an air-quality reading without interaction from the user. But, while half our engineers are now involved with software, there are practical, down-to-earth issues that remain critically important to the success of our products. These demand a willingness to experiment and get our hands dirty.

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