Can Tesla’s Optimus Robots Achieve Mass Production and Advanced Autonomy?

  • Posted Saturday, December 6, 2025

Written by ExpoLume

Tesla has released a new video on the official Optimus X account showing its humanoid robot, Optimus, jogging steadily inside the company’s laboratory. The post noted that the robot had just set a personal record, and the footage highlights a smooth, natural gait with minimal sway, significantly more stable than earlier versions. Surrounding Optimus are rows of robots autonomously charging, demonstrating a feature often underestimated: self-charging. Optimus can detect low battery levels, locate the nearest charging station, and navigate to it independently using only its rear camera.

This update follows the 2025 NeurIPS conference in San Diego, where the Optimus V2.5 was unveiled. Attendees observed highly humanoid hands with 22 degrees of freedom, capable of realistic finger bending and waving. However, V2.5 is not intended as the long-term flagship model. Tesla CEO Elon Musk announced that Optimus V3 will launch in early 2026, describing it as “so real you have to poke it to believe it is a robot.”

Production of Optimus is accelerating. Tesla has begun building a large-scale manufacturing facility at Gigafactory Texas, with plans to eventually produce up to 10 million units annually. Pilot production is underway at the Fremont Factory, with a goal of reaching 1 million units per year by the end of 2026. Several robots are already deployed in Tesla factories and offices, performing basic tasks, with plans to expand to more complex industrial processes next year. Once mass production is achieved, each robot’s manufacturing cost is expected to drop to around $20,000. Musk envisions Optimus as a central pillar of Tesla’s future business, potentially contributing up to 80% of the company’s total valuation.

The project continues to attract top talent, including a recent hire from Apple with expertise in machine learning and robotics engineering, strengthening the AI team to support large-scale deployment.

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