FAQ, evidence, and a deployment guide. Measured outcomes and stated constraints — the material to build a business case on.
Intelligence embodied in machines that perceive, decide, and act in the physical world. Generative AI produces language; Physical AI produces motion. Motion has consequences, so the loop has to close reliably on a real floor — not just in a simulation.
An Autonomous Mobile Robot navigates dynamically using onboard sensors and intelligence. Unlike AGVs, AMRs do not require floor markers, magnetic tape, or fixed paths. They build a map using LiDAR and navigate freely, adapting in real time.
AGVs follow fixed infrastructure: magnetic tape, wires, or QR codes embedded in the floor. Change the layout and you change the infrastructure. AMRs use SLAM to navigate autonomously, so a layout change is a re-mapping exercise — zero infrastructure modifications.
Selection 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 on a single model before scaling to a mixed fleet.
The AMR uses its LiDAR sensors to scan the environment, identify natural features (walls, pillars, racking), and determine its location — simultaneously building and referencing a map. No floor markers, reflectors, or magnetic tape are required.
2–4 weeks from initial assessment to operational AMRs. Process: site assessment → simulation and proof of concept → deployment → optimization. SLAM navigation eliminates facility modifications.
UL 3100 (North America) and EN 3691-4 (Europe). Independently certified by SGS — the world's leading testing and certification organization. These are the highest safety standards in the AMR industry.
Yes. Included with every deployment. No per-robot licensing. No recurring SaaS costs. One interface, up to 50 AMRs, WMS/ERP integration, VPN remote support.
Telemetry records the event — the route, the dwell, the intervention. Fleet Manager and Code-Less let the operator adjust the workflow directly. Most issues are solved without a site visit; the rest are handled by the regional service network. That is the difference between a demo and a deployment.
12–18 months. One AMR replaces roughly 1–1.5 operators per shift. Labour savings, throughput increases, and avoided facility modification costs all contribute to payback.
Pallet transport between receiving, storage, and shipping, integrated with the existing WMS. UL 3100 was a procurement condition. Two-week deployment, no facility modifications.
3× Throughput · 50% Labor ReallocationJIT delivery to 12 production cells. Eliminated line stoppages from material shortage. 3× throughput improvement.
99.7% On-Time DeliveryGoods-to-person picking across 50,000 sq ft. 50% labour reduction on transport tasks. Scaled from 3 to 25 AMRs.
50% Labor Reduction1,500 kg pallets through 2.25 m aisles. Replaced 4 forklift operators. ROI in 14 months.
14-Month ROIAdditional case studies are available under NDA across automotive, 3PL, and e-commerce floors.
On-site workflow analysis. We map your facility, identify material flows, and find the constraint that is actually binding.
Dynamic simulation with real AMR data. Proof of concept with live robots on your floor, before any commitment.
2–4 weeks from assessment to operational AMRs. Facility mapping, workflow configuration, and operator training included.
The loop learns your facility. Monitor throughput, utilization, and ROI through Fleet Manager analytics.
Bring us the loop that costs you most. We'll walk it, find the constraint, and tell you honestly whether a robot closes it.