Fleet-wide coordination that actually scales.
Simple avoidance rules break when you add more robots. Rovnou uses peer-reviewed algorithms to coordinate your entire fleet — with mathematical guarantees.
Robot traffic jams are everywhere
Vehicles pile up at staging areas or narrow paths, waiting for someone to move first
Two robots keep dodging each other forever, and nothing gets done
Staff have to physically move robots to clear the jam — every single day
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
Decentralized (rules / autonomous)
See the effect: Before/After
Zero deadlocks. Smooth coordination.
With Rovnou, traffic timing is optimized and deadlocks are prevented
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
What we measure
We track and compare these metrics during the pilot
Corridor Scenario: 50 Robots (Simulation)
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
Works with existing systems
Rovnou doesn't replace your existing FMS—it operates as an upper layer. Your FMS handles task assignment; Rovnou optimizes routes and timing.
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
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 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-in | Custom Scripts | Rovnou | |
|---|---|---|---|
| Approach | Local avoidance | Heuristic rules | Centralized MAPF |
| 10 robots | Works | Works | Works |
| 50+ robots | Deadlocks | Fragile | Math guarantees |
| Multi-vendor | Vendor lock-in | Painful | Any FMS |
| Setup time | N/A | Months | < 2 weeks |
| Peer-reviewed | No | No | IJCAI / AAAI |
Note: Amazon has built centralized robot coordination internally (Amazon Science, 2024).
Frequently Asked Questions
Team
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.
