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Business · Elon Musk

Humanoid Robots: Tesla's New Teaching Method

Tesla is using a dedicated group of robots to generate the training data needed for its Optimus line to reach commercial viability.

By Amir Mwangi ·

Illustration for: Humanoid Robots: Tesla's New Teaching Method
Illustration generated for this article, not a news photograph.

For workers in repetitive and dangerous industries, the prospect of automation is moving from concept to concrete timeline. Tesla has indicated that it intends to begin delivering its Optimus humanoid robots to outside companies by the end of 2027. These units are designed to handle tasks that require around the clock operation, marking a shift from internal testing to external commercial deployment. The company asserts that the robots now rolling off its Fremont production line meet the quality standards required for a real product.

The shift toward mass production has been rapid. Until this spring, the space inside the Fremont factory was used to build Model S and Model X vehicles. Tesla cleared that legacy line in just 46 days, a move reported in July, to install equipment capable of handling one million units annually. By the time of the recent earnings call, most of this capacity was already in place, with weekly output expected to climb toward 20,000 robots as the line ramps up.

Elon Musk characterized this growth as a classic S curve, noting that the initial slope would be shallow before accelerating. The team is currently refining the robot's AI, electromechanical design, and service life. These engineering efforts are slated for completion by the end of next year, which aligns with the planned start of external deliveries. This timeline suggests a significant compression of the development cycle compared to traditional manufacturing projects.

A central challenge for Tesla has been data acquisition. Unlike its automotive division, which benefits from millions of vehicles sending real driving data back to engineers, Optimus lacks a comparable fleet. Musk acknowledged this gap, stating that the absence of a vast fleet limits the immediate availability of training data. To solve this, Tesla is establishing an Optimus Academy. This initiative involves 10,000 to 20,000 robots practicing a wide range of tasks. Every unit produced in Fremont contributes to this pool, feeding learned behaviors into the next iteration of the model.

Hardware improvements are also part of the roadmap. Tesla plans to integrate its AI5 chip into Optimus next year. Additionally, a new video demonstration is expected within one or two months. This footage will show the robot completing tasks driven by AI rather than preprogrammed motions. Musk used this opportunity to critique rival humanoid demos that rely on scripted routines, arguing that such methods would not hold up in real world conditions.

The supply chain is also preparing for volume. In September, Tesla certified Tuopu, Joyson, and Sanhua as mass production partners for key components. Meanwhile, a larger dedicated factory is rising at Giga Texas. Drone footage recently captured the steel frame nearing completion, with Musk setting a long term target of 10 million robots a year for that facility. This expansion signals a commitment to scaling beyond the current Fremont capabilities.

Cost structure remains a focus for the program. Executives noted that Optimus production costs are trending toward the expected manufacturing cost of the Cybercab. This alignment suggests the robot is being engineered for volume from the start. However, the hands remain the most difficult design element to perfect. This component has drawn significant engineering attention, including during the X Takeover event earlier this month, as Tesla works to finalize the design for widespread commercial use.

Source: Teslarati · original report published

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