A warehouse robot that knows when to stop squeezing.
Amazon describes Vulcan, a fulfillment-center robot that combines vision with force-feedback sensors to pick and stow items in crowded inventory bins and hand difficult cases to a person.
- Maturity
- Deployed, stage 4 of 4
- Support
- 1 source · institution
- Evidence detail
- How we know ↓
Picking and stowing items in high and low warehouse bins can involve ladders, reaching, and bending that are less ergonomic for workers.
Many industrial robots could not reliably manipulate mixed items in crowded bins because they could not sense contact force well enough.
Physical-AI systems identify items and available space, while force-feedback sensors guide how the robot pushes, grips, and stops before damage.
What was shown, and what wasn’t
Shown
Amazon says Vulcan was working at fulfillment centres in Spokane, Washington, and Hamburg, Germany, on top storage rows. Amazon reports it can pick and stow about 75% of item types stored in its centres at speeds comparable to frontline employees, and can ask a human partner to take over an item it cannot move.
Not shown · limits
- The source does not display a specific publication day, so this artifact intentionally leaves the date null rather than infer one from secondary indexing.
- Amazon's capability, ergonomics, and worker-development statements are company-reported; it provides no independent injury, error, pace, or job-quality results.
- The company says broader U.S. and European deployment is planned, which is not evidence that it has occurred.
- Handling 75% of item types is not the same as handling 75% of all tasks or proving a benefit for every worker.
Bright editorial interpretation
The intended use is specific: shift awkward high- and low-row handling away from workers while retaining a human decision point for exceptions.
Still open
What changes occur in injury rates, pace, and worker control at active sites?
What are the error, damage, and exception rates?
How are workers involved in decisions about deployment and retraining?
How we know1 source · checked 2026-09-07 · no corrections
Original sources
Institutions: Amazon Robotics
- Maturity
- Deployed
- Captured
- 2026-09-07
- Last source review
- 2026-09-07
- Editorial method
- AI-assisted source review
Bright compared this account with the linked original and supporting sources and kept reported, budgeted, projected, and observed claims distinct. Bright did not independently audit the underlying records.
Maturity describes the tested or operational setting. Confidence describes support for the particular claim; one does not determine the other.
Revision & correction history
2026-09-07 · The intended use is specific: shift awkward high- and low-row handling away from workers while retaining a human decision point for exceptions.
No corrections recorded.