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Solutions · Ground autonomy

Repeatable field trials for UGVs and robotics

Synchronized runs, automatic mission checks, and fleet-wide comparisons, from one prototype to dozens of vehicles.

A six-wheel unmanned ground vehicle on a test pad, exploded into chassis, wheels, battery, compute and sensor deck, with the lidar highlighted.

The challenge

Ground autonomy programs generate terabytes of data per trial.

Varied terrain and unpredictable conditions make every run different. Instead of juggling domain-specific tools, ground teams work in Nominal, so test cycles move faster, debugging gets simpler, and scaling to dozens of vehicles becomes practical.

Where teams get stuck

  • Slow annotation

    Manual tagging creates bottlenecks and delays retraining cycles.

  • Missed context

    Logs can't capture operator intent or live situational awareness.

  • Heavy post-test workload

    Teams spend hours retro-tagging and aligning events after missions.

  • Disconnected workflows

    Engineers, annotators, and operators lack a shared system of record.

Features

Faster answers, safer systems

Whether you're reviewing one run or monitoring a fleet, Nominal puts vehicles, missions, and operators on one timeline.

  • Synchronize runs instantly

    Video, logs, and telemetry from every mission land in one catalog, with synchronized playback instead of juggling tools.

  • Track vehicle reliability

    Every UGV has a profile of hardware, firmware, and payloads, tied to mission outcomes over time.

  • Validate automatically

    Did the system detect the obstacle? Did it brake in time? Mission checks answer on every run.

  • Review as a team

    Findings, annotations, and decisions stay in one place, with no scattered threads.

  • Report with confidence

    Deliver regulator-ready and customer-facing reports with traceable evidence.

  • Scale beyond single missions

    Compare vehicles in the same environment and correlate failures across days, terrain, and configurations.

Case study

Mission Brief: Scout AI

All case studies
Scout AI fleet

Sunnyvale, CA

Scout AI

80%

Reduction in time from 'upload-start' to 'eyes-on-data'

Read case study

From the field

Teams building critical hardware trust Nominal

  • “We're at an inflection point where our testing infrastructure needs to match the pace and rigor of production. Nominal gives us a single source of truth across every test environment, simulation, HIL, and vehicle so our teams can validate faster and ship with confidence.”

    ForterraScott PhilipsChief Innovation Officer

Frequently asked questions

Can operators annotate events during a run?

Yes. Operators can annotate in the field, including live audio-transcribed notes, and those annotations sit on the same timeline as video, logs, and telemetry.

Can mission checks run automatically?

Yes. Define checks once, such as whether the vehicle detected an obstacle or braked in time, and Nominal runs them on every mission.

Can we compare vehicles across a fleet?

Yes. Compare performance across vehicles in the same environment and correlate failures across days, terrain, and configurations.

Can Nominal help curate training data?

Yes. Search annotated runs across robots, missions, and tasks to build and track training sets.

Ground autonomy

Achieve your milestones and mission, faster

See how ground teams review missions, validate behavior, and scale from one vehicle to a fleet.