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Tesla Expects Thousands Of Humanoid Robots To Work In Its Factories
The manufacturer is expected to show a working Tesla Optimus humanoid robot prototype on September 30.

Andrei Nedelea 
By: Andrei Nedelea
Sep 24, 2022 at 9:10am ET
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Tesla has unexpectedly changed course recently, putting some of its upcoming projects on hold and directing a surprising amount of resources towards the development of its humanoid Bot. The company is serious about this and is hiring specifically for this program, hoping that in the future it will have thousands of these bipedal machines working in its factories.
The manufacturer didn’t say exactly when it expects this to happen, but in a new job listing on its official site where it is looking for experienced programmers to develop software for the Optimus robot, it openly admitted that it plans to use them in their thousands. In the ad, Tesla notes that it is
On a path to build humanoid bipedal robots at scale to automate repetitive and boring tasks. Core to the Tesla Bot, the motion planning stack presents a unique opportunity to work on state-of-the-art algorithms for motion planning and navigation culminating in their deployment to real world production applications. Our motion planning software engineers develop and own this stack from inception to deployment. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots within our factories.
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In less than a week’s time, on September 30, the manufacturer is holding an event called Tesla AI Day, its second ever. It is believed that Tesla could unveil a working prototype of the humanoid robot called Optimus at the event, although this was just alluded to in the past, never officially confirmed.
In a tweet from early June, Elon Musk announced that the reason why Tesla AI Day #2 was delayed from its initial planned date of August 19 to the end of September was precisely to give the company time to have the prototype ready for a public demonstration. Tesla will also discuss its latest advancements in artificial intelligence, Full Self-Driving, the Dojo supercomputer “and more.”
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