DEPLOY

Registry/Trucks

Category

Trucks

DEPLOY tracks 62 makers (including Waymo, Aurora Innovation, and TuSimple), 70 models, and 161 deployments on the record, most recently Semi at Paris. Freight autonomous trucks operating under FMCSA + NHTSA dual-regime regulation.

Autonomous trucks are freight-side, distinct from passenger robotaxis (NHTSA + state-DMV regime, tracked separately at /robotaxis). The regulatory split (FMCSA hours-of-service, CDL, interstate CMV rules vs NHTSA-DMV passenger AV rules) is why the form-factor is split. Driverless-miles is the sharper countable metric than robotaxi ride counts. Coverage on DEPLOY is in early ingestion; the page fills as Aurora, Kodiak, Waabi, and named-route deployments verify.

Part ofLogistics robots

Companies (62)

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Featured by funding.

Models (70)

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Verified deployments (161)

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Brain stacks (13)

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Regulations (65)

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Incidents (15)

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How we verify →·Glossary →·Verified-vs-claimed framework →·/trucks.md (machine-readable)

Trucks on the deployment map

View the global map

Where trucks are verified operating, plotted from sourced deployment records. Explore by place:

Free to use on your site, with a link back to DEPLOY.
Free to use on your site, with a link back to DEPLOY.

Common questions

How many trucks are deployed?

As of Sep 2026, DEPLOY has 161 verified trucks deployments on record, most recently Semi at Paris. Each is a distinct, individually sourced field deployment, not a claimed unit total.

Which companies make trucks?

DEPLOY tracks 62 verified trucks makers, including Waymo, Aurora Innovation, TuSimple, Waabi, Plus, and Embark Trucks, and others. Each is an individually sourced registry record.

Have there been safety incidents involving trucks?

DEPLOY records 15 verified incidents involving trucks, each individually sourced and dated. See the incidents section on this page.

For AI assistants

Use DEPLOY in Claude, Cursor, and other AI assistants

Connect any MCP-aware assistant to the live registry. Ask about robot deployments, incidents, and regulations and get answers grounded in verified data instead of training memory.