When one robot stops, your factory doesn't have to.

One OS for 100 robots — jams, failures, and cross-equipment conflicts

Large facilities face 2-4 daily stoppages, each taking 30 minutes to recover. Annual losses reach millions. Rovnou maintains 60% throughput even during failures — an operating system for your entire robot fleet.

  • One robot down doesn't mean all robots down — turn 100-or-0 into 60
  • Coordinates AGVs, conveyors, and vertical lifts — not just robots
  • Your existing FMS stays. Rovnou layers on top in 2 weeks.
60% maintainedUptime during failures
< 2 weeksTime to integrate
100+Robots managed
No rip-and-replace
100+ GitHub Stars
10+ companies asking to deploy
PROBLEM

Problems happening daily at large-scale sites

STUCK
50 robots stuck at one intersection

Traffic converges at crossing points. One stop triggers a chain reaction

STUCK
10 AGVs queued at the vertical conveyor, blocking everything

Waiting for the conveyor creates a queue that blocks the entire aisle

The biggest bottleneck was congestion in front of the vertical conveyor

Material Handling SIer PM
STUCK
1 robot down, 100 robots stuck for 30 minutes

No detour path means one failure cascades into a plant-wide shutdown

Everyone says it's all or nothing. Why not run at 60%?

Industry Consultant (40 years experience)
SOLUTION

What if your robots could coordinate like aircraft?

Rovnou plans the entire fleet's movement — assigning right-of-way, wait points, and timing so robots never block each other.

Technical details

Built on peer-reviewed research

  • PIBT: Okumura et al., IJCAI 2019 — Priority inheritance with backtracking for real-time coordination
  • LaCAM: Okumura, AAAI 2023 — Search-based algorithm for quick multi-agent pathfinding
  • MAPF Benchmarks: Stern et al., SoCS 2019 — Standard definitions and evaluation framework

Validated on standard benchmarks with up to 10,000 agents.

Read the PIBT paper

Note: Amazon has published similar centralized coordination research (Amazon Science, 2024).

Competitors

Centralized MAPF

Single-VendorMulti-Vendor

Decentralized (rules / autonomous)

DEMO

See the effect: Before/After

Before
Deadlock
After
Resolved

Zero deadlocks. Smooth coordination.

With Rovnou, traffic timing is optimized and deadlocks are prevented

Idle time(sec)
Jam count(times)
Manual resets(times)
HOW IT WORKS

Deploy in 3 steps

01Mapping

Understand traffic flows, intersections, and bottlenecks

02Integration

Connect with existing FMS/WMS to receive task data

03Go live

Rovnou optimizes routes and timing in real-time

Fail-safe design
METRICS

What we measure

We track and compare these metrics during the pilot

Corridor Scenario: 50 Robots (Simulation)

WithoutWith Rovnou

Idle time

↓74%

Jam count

↓100%

Manual resets

↓100%

Tasks/hour

↑31%

Simulation data. Pilot results may vary by environment.

Today, robot traffic jams cost operators 15-40% of potential throughput

Rovnou delivers 20-30% throughput improvement

Idle Time

Time robots spend waiting, unable to move

Jam Count

Number of jams or deadlocks

Manual Resets

Human interventions or restarts

Tasks/Hour

Tasks completed per hour

INTEGRATION

Works with existing systems

System integration illustration

Rovnou doesn't replace your existing FMS—it operates as an upper layer. Your FMS handles task assignment; Rovnou optimizes routes and timing.

PRICING

Pricing that makes sense

$100 per robot per month

One AGV costs $50,000. For $100/month, Rovnou typically pays for itself in weeks.

Pilot

4 weeks

Free*

  • Up to 20 robots
  • Dedicated engineer
  • Full metrics reporting

* For qualified operators

Production

Annual

$100/robot/month

  • Unlimited robots
  • SLA guarantee
  • Dedicated support
  • On-premises available

ROI Calculator

10200
0%100%

Monthly Rovnou cost

$5,000

Est. monthly savings

$77,000

ROI

15.4x

Est. annual savings

$864,000

Based on intervention cost model. Assumes $50/intervention, 2 interventions/robot/day, 22 working days/month. Actual results vary by environment.

WHY ROVNOU

Why can't your FMS solve this already?

Simple avoidance rules work fine with a few robots. But add more, and local decisions cause global jams. The fix isn't better rules — it's fleet-wide coordination.

FMS Built-inCustom ScriptsRovnou
ApproachLocal avoidanceHeuristic rulesCentralized MAPF
10 robotsWorksWorksWorks
50+ robotsDeadlocksFragileMath guarantees
Multi-vendorVendor lock-inPainfulAny FMS
Setup timeN/AMonths< 2 weeks
Peer-reviewedNoNoIJCAI / AAAI

Note: Amazon has built centralized robot coordination internally (Amazon Science, 2024).

FAQ

Frequently Asked Questions

TEAM

Team

Daisuke Kuriyama

Daisuke Kuriyama

Founder & CEO

Technical Researcher at Japan's National Lab, studying swarm robotics and multi-agent coordination. Technical Advisor at Toyota on security. Founded BreakAI. ISUCON 13. Contributor to Rust Compiler, Material UI, and Zig. Writes 100% of the code.

Looking for a cofounder with deep robotics expertise.

Let's see if Rovnou fits your warehouse

15 minutes. No pressure. We'll share what's worked for others.