Warehousing · E-commerce · Postal
Logistics Robots & Autonomous Ground Vehicles
Robots collaborate using local IoT sensor grids. AI agents coordinate the robot fleet like an air-traffic system for pick and pack, pallet movement, and last-mile delivery — with the coordination logic running as close to the robots as the robots are to each other.
Fleet coordination is a latency-bound problem
Coordinating dozens or hundreds of robots sharing the same aisles is functionally an air-traffic-control problem: every robot needs to know what every nearby robot is about to do, fast enough to avoid a collision or a deadlock at a narrow aisle. That coordination traffic is high-frequency and latency-sensitive in a way that a typical cloud round-trip can't reliably serve — by the time a decision comes back from a distant region, the robots have already moved.
Relay's Agent Mesh protocol is built for exactly this: sub-millisecond coordination between many agents on the same local network, with deterministic ordering so two robots don't both claim the same pallet slot at once. Running it on-site, on the warehouse's own network, keeps the fleet's coordination loop inside the latency budget the robots actually need.
What's included
- →Agent Mesh coordination: sub-millisecond, deterministic messaging between fleet members.
- →Local sensor grid integration: fixed warehouse sensors and mobile robot telemetry share the same bus.
- →Runs on the warehouse network: on-prem deployment keeps coordination local, without a cloud dependency in the loop.
See it against your own architecture
Every protocol and transport on this page is available on the Free plan. Run it on your own hardware before you talk to anyone.