Infrastructure for Collaborative Robots (Cobots) & Autonomous Mobile Robots (AMRs)

Cobots and AMRs operating autonomously alongside humans require formally documented and machine-readable safety zone configurations, task specifications per product variant, floor layout constraints, and human-robot interaction protocols. ISO/TS 15066 safety requirements mandate explicit documentation of collaborative workspace boundaries. When a cobot adapts to a product variant changeover, it must query formally structured task parameters—not rely on operator intervention to redefine its operating envelope. This goes beyond findable SOPs to AI-compatible structured rules.

AMR fleet management and cobot task optimization depend on automated capture of robot utilization, path execution, collision events, task completion rates, and human worker proximity data in real time. MES captures production events, but cobot and AMR operational data must be logged automatically from robot controllers—cycle times per pick, deviation from planned paths, safety stops triggered, and task queue consumption rates. This feeds continuous fleet optimization and safety compliance audit trails without manual logging.

Cobot and AMR systems require a formal ontology mapping floor layout zones to robot navigation nodes, product variants to task parameter sets, and human worker positions to dynamic safety exclusion zones. Relationships such as WorkStation.Zone CONTAINS Robot.SafetyEnvelope WITH Condition: HumanProximity.Threshold must be explicitly defined for autonomous operation. Vision system outputs must map to structured pick coordinates and product entity identifiers that connect to PLM specifications.

Cobots and AMRs require unified real-time access to MES task queues, WMS inventory locations, production schedules, and safety system inputs through a single API layer. When an AMR receives a transport task, it must simultaneously query current inventory position (WMS), production priority (MES), and floor occupancy (safety system)—within milliseconds. Querying each system sequentially through separate interfaces introduces latency incompatible with real-time autonomous navigation and task allocation.

Robot task parameters, floor maps, and safety configurations must update in near-real time when factory layout changes, product introductions occur, or safety incidents trigger protocol revisions. When a new workstation is added to the production floor, AMR navigation maps and task routing rules must propagate within hours—not at the next quarterly review. Stale floor maps cause AMRs to attempt routes through physical obstacles, triggering safety stops and production interruptions.

Cobot and AMR fleet coordination requires an integration platform connecting robot fleet management software, MES task queues, WMS inventory positions, ERP production orders, and safety monitoring systems. Fleet-wide task allocation—deciding which AMR handles which transport based on current position, battery state, and task priority—requires orchestrated data flows across all systems simultaneously. An iPaaS layer ensures robot decisions reflect current production state across all connected systems, not cached snapshots.