The future is now. BMW Group has successfully tested the Figure 02 humanoid robot at its Spartanburg plant in South Carolina, marking a significant advancement in automotive manufacturing technology. This collaboration between BMW and California-based AI robotics company Figure has yielded impressive results, showcasing the potential of humanoid robots in industrial settings.

Key Improvements and Capabilities:

The Figure 02 humanoid robot has shown significant advancements in its performance on BMW’s production line, marking a major leap in industrial robotics. The robot’s speed has increased by an impressive 400%, allowing it to complete tasks much faster than before. This substantial speed boost enables more efficient production processes and potentially higher output. Additionally, the success rate of the robot’s operations has improved sevenfold, indicating a dramatic reduction in errors and failed attempts. This enhancement in accuracy and reliability is crucial for maintaining high-quality standards in automotive manufacturing. Perhaps most notably, the Figure 02 can now perform up to 1,000 operations per day, showcasing its ability to handle a high volume of tasks consistently. This combination of speed, accuracy, and operational capacity demonstrates the robot’s potential to significantly improve productivity and efficiency in BMW’s manufacturing processes, potentially revolutionizing automotive production methods.

The Figure 02 robot progress:

Metric	Improvement
Speed	400% increase
Success rate	7-fold enhancement
Daily operations	Up to 1,000

Technical Specifications:

The Figure 02 boasts several advanced features:

Height: 5 feet 6 inches (170 cm)
Weight: 154 pounds (70 kg)
Load capacity: 44 pounds (20 kg)
Computing power: 3x increase from previous model
Hands: 16 active degrees of freedom per hand
Sensory equipment: 6 cameras, improved microphones and sensors

Applications in BMW’s Production:
During the trial, the Figure 02 performed high-precision tasks, including:

Inserting sheet metal parts into specific fixtures
Handling difficult-to-manipulate metal pieces
Placing components with millimeter-level accuracy

These tasks demonstrate the robot’s potential to take on hazardous, repetitive, or physically demanding jobs in automotive manufacturing.

Potential Applications in the Steel Industry

The Figure 02 humanoid robot’s success in BMW’s automotive production line suggests promising applications in the steel industry. Its advanced capabilities could revolutionize various aspects of steel manufacturing and processing:

Hazardous Environment Operations
The robot’s ability to handle physically demanding tasks makes it ideal for working in high-temperature or dangerous areas of steel mills. It could perform tasks like sample collection from molten steel or manipulating heavy equipment, reducing risks to human workers.

Precision Manufacturing
With its millimeter-level accuracy, Figure 02 could enhance precision in steel fabrication processes. Tasks such as cutting, welding, or assembling intricate steel components could benefit from the robot’s dexterity and consistency.

Quality Control
The robot’s advanced vision systems and sensors could be utilized for detailed inspections of steel products, identifying defects or inconsistencies that might be missed by human inspectors or traditional automated systems. This including incoming material, or processed material after it has been cut to length or slit in the case of flat roll steel.

Maintenance and Repair
Figure 02’s versatility could prove valuable in maintaining and repairing steel manufacturing equipment. Its ability to navigate complex environments and perform varied tasks could streamline maintenance processes.

Material Handling
The robot’s strength (capable of lifting up to 20 kg) and mobility make it suitable for transporting and positioning steel materials or finished products within a facility, potentially increasing efficiency in inventory management and logistics. By integrating Figure 02 into steel industry operations, companies could potentially improve worker safety, increase production efficiency, and enhance product quality. However, successful implementation would require addressing challenges such as adapting the robot to the specific needs of steel manufacturing and ensuring seamless integration with existing systems and workflows.

Future Outlook

While the trial has been successful, BMW has not yet deployed Figure AI robots permanently at the Spartanburg plant. The company plans to continue collaborating with Figure to refine the robot’s capabilities and explore future applications in production. Figure AI recently secured $675 million in Series B funding, valuing the company at $2.6 billion. This investment, along with the successful BMW trial, positions Figure 02 as a promising technology for the future of industrial automation.