Figure AI has deployed its newest humanoid robot, Figure 03, at BMW's manufacturing plant in Spartanburg, South Carolina, to handle logistics sequencing tasks in real production environments. This follows a successful pilot with the earlier Figure 02 model, which supported production of over 30,000 BMW X3 vehicles over ten months by inserting sheet-metal parts for welding.

What Makes Figure 03 Different From Earlier Humanoid Robots?

The Figure 03 robot introduces several hardware and software improvements designed to expand its capabilities beyond the body shop work performed by Figure 02. These upgrades reflect the company's focus on making humanoids more practical for real-world manufacturing challenges.

• Safety Features: Soft components designed for enhanced safety when working alongside human employees in shared spaces.
• Charging and Availability: Wireless charging capability designed to increase uptime and reduce downtime between shifts.
• Communication: Audio functions for speech-to-speech communication, allowing the robot to receive verbal instructions from workers.
• Precision and Dexterity: Improved hands with tactile sensors and palm cameras designed to increase precision when handling delicate or complex parts.

"The robot introduces several new features for expanded applications. These include soft components designed for enhanced safety, wireless charging designed for higher availability and audio functions for speech-to-speech communication, along with improved hands with tactile sensors and palm cameras designed to increase precision and dexterity," explained Brett Adcock.

Brett Adcock, Founder and CEO of Figure AI

How Does the New Logistics Task Work?

Rather than inserting parts into vehicles like Figure 02 did, Figure 03 is being deployed for a sequencing use case that occurs frequently throughout automotive production. The robot receives unsorted components delivered in large containers, picks them up individually, and sorts them into a sequencing trolley. Once sorted, the trolley is transported to a collection point where an automated tugger train or Smart Transport Robot carries the parts to assembly stations, where they are provided to workers "just in sequence".

This type of logistics work is common across automotive manufacturing and represents a significant opportunity for scaling humanoid deployment. The task demands both precision and the ability to handle variable inputs, making it an ideal test case for evaluating whether humanoids can move beyond highly controlled, repetitive body shop environments into the more dynamic logistics hall.

Why Is BMW Investing in Humanoid Robots?

BMW's decision to expand humanoid deployment reflects a broader corporate strategy to integrate Physical AI, which combines digital artificial intelligence with real machines and robots, into manufacturing workflows. The company views humanoid robots as a complement to existing automation, particularly for tasks that are monotonous, ergonomically demanding, or safety-critical.

"Plant Spartanburg is the birthplace of humanoid robotics in BMW Manufacturing's operational day-to-day activities. Having already successfully completed a pilot with Figure 02 in our body shop, we are now looking forward to deploying Figure 03 for a sequencing use case in logistics," said Ulrich Wieland.

Ulrich Wieland, Vice President of Production Control and Logistics, BMW Manufacturing

The ten-month deployment of Figure 02 provided BMW with concrete evidence that humanoids are no longer experimental laboratory systems. Over that period, the robot successfully supported production of more than 30,000 BMW X3 vehicles, performing precise, high-speed sheet-metal insertion work that demands both accuracy and physical capability.

How to Evaluate Humanoid Robot Readiness for Manufacturing

BMW's expansion from a pilot program to a second-generation deployment demonstrates key criteria that manufacturers should consider when assessing whether humanoid robots are ready for their own facilities.

• Sustained Production Support: Verify that the robot can operate reliably over extended periods, not just in short-term trials. Figure 02's ten-month deployment supporting 30,000 vehicle production runs demonstrates this capability.
• Task Complexity Progression: Assess whether the technology can handle multiple types of manufacturing tasks. BMW is moving Figure 03 from body shop insertion work to logistics sequencing, showing versatility across different workflows.
• Safety and Ergonomic Benefits: Confirm that the robot reduces physical strain on workers and operates safely in shared spaces. Figure 03's soft components and communication features address these concerns directly.
• Integration with Existing Systems: Ensure the humanoid works alongside current automation infrastructure. Figure 03 coordinates with automated tugger trains and Smart Transport Robots in the sequencing workflow.

The Spartanburg facility itself is undergoing digital transformation to support this shift. Hall 52, where BMW X3 variants and the future electrified BMW iX5 will be assembled, has been extensively expanded and updated with digital applications. Virtual 3D simulations help optimize processes before components arrive at the production line, while artificial intelligence systems like AIQX (Artificial Intelligence Quality Next) perform visual and acoustic quality inspection to maintain consistency in dynamic production environments.

For Figure AI and the broader humanoid robotics industry, BMW's continued investment represents validation that the technology can move beyond proof-of-concept phases into sustained operational deployment. The company's willingness to expand from one robot model to a second-generation system at the same facility, and to deploy it in a different type of manufacturing task, suggests that the economics and reliability of humanoid robots are becoming compelling enough for major manufacturers to justify ongoing investment.