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Figure ai's 200 hour test: robots sort 250 k packages

πŸ€– Figure AI's Robots Triumph | 250K Packages Sorted in Record Time

By

Mohamed Ali

May 25, 2026, 08:17 PM

Edited By

Carlos Mendez

Updated

May 25, 2026, 10:53 PM

2 minutes needed to read

Three humanoid robots efficiently sorting a large number of packages in a logistics facility
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In a landmark test, Figure AI's humanoid robots sorted 249,560 packages over 200 hours, with no hardware failures. This significant trial took place in Sunnyvale, California, showcasing the robots’ potential and sparking debate over the implications of automation in the workforce.

Efficiency at Its Finest

This test highlighted the robots' capabilities. They quickly scanned, picked, and sorted packages, accomplishing tasks faster than many expected. In a 10-hour contest on May 17, a robot almost rivaled a human intern, sorting 12,732 units compared to the intern's 12,924. The close call illustrates a rapid improvement in machine efficiency and adaptability in logistics.

"Keeping three physical robots running for 200 hours straight without a single hardware failure is most impressive," remarked a former warehouse manager, emphasizing the reliability of the machines.

Automation's Dual Edge

As Figure AI plans to ramp up to 1 million units annually, anxiety grows over job displacement in warehouses.

A contributor noted, "This isn't the use case for humanoid robots The benefit here is that humanoid robots can easily be deployed without major changes to existing infrastructure." This perspective raises concerns among some about the practicality of humanoid robots versus more established systems.

Community Reactions

Hopes for improved efficiency are tempered by skepticism in forums:

  • "This is a really incorrect POV. Those jobs suited some people."

  • "Except when robots keep taking people's jobs, nobody will be needing parcels sorted."

The sentiment is mixed, with some people championing automation for its ability to enhance productivity while others fear for job security. This trend indicates a polarized view of the changing workforce landscape.

Key Points from the Discussion

  • Business Potential: Many express enthusiasm for the robots' applications, noting lower theft rates compared to human workers.

  • Technological Challenges: Comments mention the specialized training and software simulations required for the robots, suggesting they may not be deployment-ready right now.

  • Comparative Performance: Some argue that bipedal humanoid robots won’t match existing systems' throughput for years, urging for practical comparisons between technologies.

Key Takeaways

  • πŸš€ 249,560 packages sorted in 200 hoursβ€”no hardware failures.

  • πŸ€– Next up: 1 million units per year plan on the horizon.

  • ⚠️ Community views range from enthusiasm for efficiency to concerns about job displacement.

As Figure AI continues to provoke discussions about automation in logistics, the future remains uncertain. Will these robots assist humans, or will they replace them? The debate is likely to intensify as technology progresses.