A quadruped inspection robot profile gives a legged robot one job: autonomous inspection rounds on a fixed route through a plant — reading gauges, detecting thermal hot spots, acoustic leaks and gas — across stairs, gratings and night shifts. It is not trained to open valves or touch live equipment. It decides route recovery and re-reads on its own, and escalates thermal or gas anomalies above threshold and blocked routes to the control room.
The mission profile
| Profile element | This robot |
|---|---|
| Mission | Complete scheduled inspection rounds with 100% checkpoint coverage |
| Operating envelope | Stairs, gratings, process units and night shifts on a mapped site |
| Trained for | Gauge reading, thermal and acoustic anomaly detection, gas sensing, route recovery |
| Not trained for | Opening valves, pressing buttons or touching live equipment |
| Autonomy level | Acts alone on routing and re-reads; operators own every intervention |
| Escalates when | Thermal or gas reading above threshold, blocked route, sensor fault |
| Learning loop | Operator confirmations turn each alert into a labelled example |
Why legs — and why only inspection
Process plants were built for people who walk: stairs, catwalks and gratings. Legs let a robot follow the operator’s route without re-engineering the site. Keeping the profile to sensing — no manipulation — keeps the risk low and the value high, because repetitive rounds are exactly the work that is easiest to miss at 3 a.m.
ANYbotics’ ANYmal shows what this looks like in production. At Equinor’s unmanned Northern Lights carbon-capture facility in Norway, ANYmal monitors CO₂ concentration and alerts operations to dangerous levels, surveys the harbour perimeter and observes high-pressure pump tests. Within the first two weeks it ran its first autonomous mission through Equinor’s Flotilla fleet software without local supervision. For explosive atmospheres ANYbotics offers ANYmal X, an Ex-proof version for hazardous areas.
What it decides, recommends and escalates
| It decides alone | It recommends — a person approves | It stops and escalates |
|---|---|---|
| Route order and detours | Adding a checkpoint to the route | Thermal or gas anomaly above threshold |
| Re-reading an unclear gauge | Raising an inspection priority | Blocked or unsafe route |
| Returning to dock to charge | Skipping a closed area | Sensor or localisation fault |
Where decision intelligence fits
Turns readings into decisions
A hot bearing is not an alert — it is a work order, a priority and an owner. DI makes that call with the maintenance history attached.
Sets thresholds by asset
The same temperature means different things on different pumps; thresholds come from asset context, not one global number.
Balances the route
Which checkpoints deserve more frequent visits, based on risk and past findings.
Learns from confirmations
Every operator confirm or dismiss improves the next alert’s precision.
- Legs solve access; a sensing-only profile keeps it safe.
- Rounds are repetitive — exactly where robots are most reliable.
- The value is the decision made from the reading.