The solution worked because it aligned movement, allocation, and fleet diversity around shared operating information.¹

WorkedDid not

Traffic control

Central route reservation¹

Separate vendor movement¹

Routing

Conflict resolution¹

Static routes¹

Fleet integration

Three models via OpenRMF¹

Uncoordinated vendors¹

Task allocation

Battery, distance, congestion¹

Fixed traffic assumptions¹

YF Studio built a central traffic manager that reserved routes and resolved conflicts.¹ That layer gave the warehouse a way to coordinate robot movement across vendor boundaries rather than asking each system to optimise locally.

Integration through OpenRMF adapters connected three robot models.¹ Task allocation then considered battery level, distance, and congestion.¹ The resulting system supported expansion from 10 to 50 robots, increased picking throughput by about 35%, and lifted utilization from 60% to 85%.¹

Mixedvendor robot fleet caused convoy bottlenecks before unified coordination reduced congestion

Mixedvendor robot fleet caused convoy bottlenecks before unified coordination reduced congestion