Physical AI on the Floor — Dallas Roboter

8

AMR Models

Eight bodies, one intelligence. S130 to CX33.

1,500 kg

Max Payload

Heavy pallet handling through 2.25 m aisles. 7% gradeability.

±10 mm

Accuracy

Position repeatability at every transfer point, at rated load.

2–4 wk

Deployment

Assessment to operational robots. No floor markers, no construction.

Applications

Which loop do you want to close?

Start with the work, not the hardware. Six closed loops — each with a measured outcome, a recommended fleet, and a path that expands as you prove ROI.

Application 01

Line Feeding (JIT)

The AMR reads the buffer and delivers before it empties. The line never waits for someone to notice.

99.7% On-TimeX13 · X22 · S130

Application 02

Pallet Transport

Dock to storage, storage to line, line to dock — routed around congestion instead of waiting in it.

3× ThroughputX22 · X33 · PX33

Application 03

Goods-to-Person Picking

Totes and bins come to the station. The picker stays put; the walking leaves the shift.

3× PickingS130 · X13 · X22

Application 04

Stacking & Retrieval

Put-away and retrieval to 2,000 mm, or 4,500 mm with counterbalance. One robot, two operations.

4.5 m LiftFX33 · CX33

Application 05

Narrow-Aisle Heavy Pallet

1,500 kg pallets through 2.25 m aisles and 7% ramps — a robot that never cuts the corner.

1,500 kgX33 · CX33

Application 06

End-to-End Warehouse Automation

Receiving through shipping, orchestrated by one Fleet Manager and integrated with your WMS/ERP.

50 AMRsAll Models

The bodies behind the loops

Eight models. One intelligence.

The body changes with the work. The intelligence does not. Every AMR in the fleet shares one navigation stack, one safety architecture, and one Fleet Manager — so what one robot learns, the fleet knows.

SLAM navigation — no floor markers required
UL 3100 + EN 3691-4 certified by SGS
Fleet Manager included — up to 50 AMRs, single interface
Cross-compatible spare parts and portable training

Browse the Fleet

Code-Less · The WCS Platform

Change the loop without code.

Robot and process workflows live on a visual, node-based canvas — no developer, no downtime. The operator who understands the process can change the process: design, validate, execute, monitor, improve.

→ Drag, connect, configure — no code required
→ Change a route in minutes, not days
→ Live validation before anything runs on the floor

Explore Code-Less

Technology Platform

One loop. Every application.

Perceive · Navigation

SLAM + Tag Hybrid Navigation

The AMR uses LiDAR to build a map of the building in real time. No floor markers. No magnetic tape. No construction. Walls, pillars, and racking are the reference points.

At transfer points, DM Code tags provide ±10 mm precision and ±1° angular accuracy — so the loop closes exactly where precision is required.

Decide · Safety

UL 3100 + EN 3691-4 Certified Safety

Safety is a constraint on every decision the robot makes, not a feature bolted on at the end. Independently certified by SGS — standard on every model.

Dual safety-rated LiDAR with 510° combined coverage. Dynamic safety fields that widen with speed and load, and tighten for precision maneuvering.

Act · Fleet Manager

Fleet Manager Software

Up to 50 AMRs from a single interface. WMS/ERP integration via REST API. No per-robot SaaS fees.

Opportunity charging coordinates energy across the fleet: 8 hours rated operation, 1.5–2 hours to full charge, no dedicated charging downtime.

Technology Comparison

SLAM vs legacy navigation.

Method	Infrastructure	Deployment	Flexibility	Maintenance
SLAM + Tag (DR)	None	2–4 weeks	Any path, dynamic	Low
QR Code	Codes in floor	2–6 weeks	Fixed paths	Medium
Magnetic Tape	Tape throughout	4–8 weeks	Fixed paths	High
Laser Reflectors	Reflectors on walls	3–6 weeks	Line of sight only	Medium

The Shift

Open loop → closed loop.

Before. The open loop.

Someone has to notice, fetch, and deliver. The labour is the loop.

$73,000 per year on non-value transport (2 operators)
Line stoppages at $22,000 per minute in automotive
Throughput varies with shift and staffing
Layout changes mean new tape, new construction, new downtime
Peak seasons require hiring surges and training

After. The closed loop.

The robot perceives, decides, and acts. Your team handles the exceptions.

3× throughput improvement vs manual transport
99.7% on-time JIT delivery. Lines don't stop.
24/7 consistent operation with opportunity charging
Zero infrastructure changes. SLAM re-maps immediately.
Scale from 3 to 100+ AMRs without hiring or training

Deployment

From pilot to production in weeks.

01

Assess

Walk the floor. Find the binding constraint. Define the loop worth closing first.

02

Simulate

Model fleet performance against your parameters. Prove it before you commit.

03

Deploy

2–4 weeks from assessment to operational. The robot maps the building. No construction.

04

Optimize

The loop learns your facility. Telemetry and Code-Less keep it matched to the floor.

FAQ

Answers for your floor.

Start where the ROI is fastest — usually one bottleneck workflow: a single line-feeding loop or a high-traffic transport lane. Most customers pilot one zone in 2–4 weeks, prove payback, then expand.

An AGV follows infrastructure you build — magnetic tape, wire, or QR codes embedded in the floor. Change the layout and you change the infrastructure. An AMR uses SLAM to build its own map of the building, so a layout change is a re-mapping exercise, not a construction project.

It depends on payload, environment, and application. Platform AMRs (S130–X33) handle 60–1,500 kg; fork AMRs (PX33–CX33) handle pallet movement, stacking, and counterbalance work. Most customers start with a 2–3 unit pilot.

The AMR uses LiDAR to build a map of the environment in real time and tracks its position against it — simultaneously localising and mapping. Walls, pillars, and racking are the reference points. No floor markers required.

UL 3100 (North America) and EN 3691-4 (Europe), independently certified by SGS. Standard on every model — not an upgrade.

12–18 months. One AMR replaces roughly 1–1.5 operators per shift. Labour savings, throughput gains, and avoided facility modification costs all contribute to payback.

Physical AI
on the floor.