Coordinating robot systems with human teams is hard. Industrial and commercial robots run on proprietary control systems and communication protocols - connecting them to business workflows requires middleware, protocol translation, and careful architecture planning.
Common communication protocols
OPC UA (Open Platform Communications Unified Architecture)
Industry standard used by major manufacturers (ABB, KUKA, FANUC, Siemens). It provides secure machine-to-machine communication with built-in data modeling.
ROS/ROS2 (Robot Operating System)
Open-source robotics middleware common in research and collaborative robots. ROS2 uses DDS (Data Distribution Service) for real-time communication between nodes.
MQTT (Message Queuing Telemetry Transport)
Lightweight publish-subscribe protocol built for IoT devices. Used for robot telemetry and event-driven communication, with lower bandwidth needs than OPC UA.
Proprietary protocols
Many manufacturers use proprietary communication methods that need vendor-specific SDKs or edge devices to translate into standard protocols.
Integration architecture
Network topology
Robot systems typically need network segregation between operational technology (OT) and information technology (IT) networks. Integration points usually happen through:
DMZ (demilitarized zone) with controlled access
Edge computing devices bridging OT and IT networks
API gateways with rate limiting and authentication
Message queues for asynchronous communication
Security requirements
When connecting robots to external systems, you’ll need:
Network isolation between robot control and business networks
Authentication and authorization for all API calls
TLS encryption for data in transit
Fail-safe mechanisms if connectivity drops
Air-gapped operation for safety-critical systems
Human-robot collaboration workflows
Modern industrial settings increasingly mix automated and manual work. Coordinating these workflows means connecting robot control systems with human task management.
Common patterns
Assembly operations - Robots handle heavy lifting and precise positioning while humans manage delicate components that need dexterity.
Quality inspection - Automated measurement systems run initial checks, routing exceptions to human inspectors.
Maintenance workflows - Diagnostic routines generate data that maintenance teams use for troubleshooting and repair.
Safety and compliance
Industrial robot deployments must follow relevant safety standards:
ISO 10218 (Safety requirements for industrial robots)
ISO/TS 15066 (Collaborative robots)
ANSI/RIA R15.06 (North American industrial robot safety)
Audit trails help demonstrate compliance during safety assessments.
Planning your integration
Technical requirements
API access and authentication
Network connectivity and bandwidth
Protocol translation capabilities
Edge computing or middleware needs
Data sync and latency requirements
Organizational readiness
IT and operations team collaboration
Clear ownership of robot systems
Change management processes
Training for maintenance staff
Incident response procedures
Industry applications
Manufacturing
Automotive assembly, electronics production, material handling, CNC coordination, quality inspection systems
Logistics and warehousing
Autonomous mobile robots (AMRs), automated guided vehicles (AGVs), picking and packing systems, inventory management
Note: Implementation details depend on your organization’s requirements, robot configurations, and network architecture.
Important disclaimer
Information currency: This documentation covers general robotics workflow integration concepts. The robotics industry evolves rapidly, with frequent changes in:
Vendor product capabilities and APIs
Communication protocols and standards
Safety regulations and compliance requirements
Market positioning and company ownership
Verification required: Before making technical or business decisions:
Check current vendor capabilities through official documentation
Consult robot manufacturers for specific integration requirements
Review current safety standards and compliance obligations
Assess your organization’s specific needs
No guarantees: This documentation doesn’t constitute:
Promises of specific integration capabilities
Technical specifications or service level agreements
Endorsements of particular vendors or products
Professional advice for your specific situation
Contact Tallyfy support to discuss your robotics integration requirements and current capabilities.
KUKA manufactures industrial robots from 6kg collaborative to 1300kg heavy-duty systems with strong motion control and programming tools like KRL and iiQKA.OS2 but managing procedures and documentation across robot fleets often requires additional workflow systems like Tallyfy to address version control challenges procedure documentation gaps knowledge sharing limitations and audit trail requirements through potential integration via OPC UA or KUKA.Connect protocols.
Unitree Robotics makes quadruped and humanoid robots with SDKs for movement control across inspection and research applications but lacks workflow management that a Tallyfy integration could address through dynamic procedure querying and centralized fleet knowledge sharing with compliance documentation.
Universal Robots cobots run static pre-programmed routines stored on local controllers, creating challenges for fleet-wide procedure management, dynamic knowledge sharing between robots, and the compliance documentation trails required in regulated manufacturing.
Apptronik’s Apollo humanoid robot is in pilot programs with Mercedes-Benz and GXO Logistics but lacks dynamic workflow management for fleet deployments where Tallyfy integration could provide centralized procedure management automatic audit trails and fleet-wide coordination through its REST API