More than a dozen engineers, who lost their jobs after consumer robotics startup Anki shut down in April, have found a new home.
The 13 robotics experts, a group that includes Anki’s co-founder and former CEO Boris Sofman, are heading over to self-driving vehicle company Waymo, to lead engineering in the autonomous trucking division, according to a LinkedIn post. Sofman will report to CTO Dmitri Dolgov.
The group of engineers comprises nearly the entire technical team at Anki, many of whom have roots at Carnegie Mellon University’s robotics program, and includes its former behavior lead Brad Neuman and perception lead Andrew Stein. Anki’s head of hardware Nathan Monson and its former program manager Charlie Hite have also joined Waymo.
Axios was the first to report the move.
Anki built several popular products, starting with Anki Drive in 2013 and later the popular Cozmo robot. The Bay Area-startup had shipped more than 3.5 million devices with annual revenues approaching $100 million, Sofman wrote Thursday in a LinkedIn post.
Anki had raised more than $180 million, according to Crunchbase. The company was apparently prepared to take its robots business beyond entertainment, but it ran out of runway before it was able to activate that plan. “In the end we couldn’t overcome recent hurdles and the complexities of consumer hardware,” Sofman wrote.
Anki was a consumer robots company, which would seem like a bit of a leap over to Waymo. However, Sofman noted that it was autonomous driving that “first sparked” his attraction to the field and was the focus of his thesis at Carnegie Mellon.
“Throughout the last decade, I would look over at what was happening at Waymo and be inspired by the progress they were making, and the inevitable impact their technology would have on everyone’s lives in the years to come,” Sofman wrote.
The trucking team will work out of Waymo’s San Francisco office, a newer development within the company’s structure.
Much of the attention on Waymo has been on its robotaxi ambitions and its Waymo One ride-hailing service in the Phoenix area. However, the company has intentions to apply its full self-driving stack to other commercial applications, including trucks and deliveries.
“The nice thing about all those properties is that while the specialization layer are very different, the core technology, and the hardest problems that you’re trying to solve on research and engineering are exactly the same,” Dolgov said during an interview in March at MIT Tech Review’s EmTech Digital conference.
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