Lightweight messaging
Reduce messaging overhead for robots using cellular or other bandwidth-constrained networks.
EMQX FOR CONNECTED ROBOTS
MQTT data backbone for connected robots
Connect robots, stream telemetry, and coordinate fleet operations across edge and cloud with EMQX.
Trusted by robotics companies
Overview
Why MQTT for connected robots
Connect robots and applications with MQTT messaging that scales with your fleet.
Architectural decoupling
Publish telemetry once and let control centers, monitoring tools, and other robots subscribe to the data they need.
Fleet-wide scalability
Use topic-based messaging to share updates across robotic fleets as devices and applications grow.
Architecture
A shared MQTT backbone for robot fleets
Bridge selected ROS/DDS data to MQTT for fleet monitoring and remote coordination across wide-area networks.
Robot data
Locomotion
Sensors
Hands
Vision
Edge AI
Bridge and edge
ROS/DDS bridge
Bridge application
Selected topics and payload translation
EMQX Edge
Lightweight MQTT
Edge Computing
Edge-to-cloud bridge
MQTT platform
EMQX Cluster
EMQX Node 1
Rule Engine
Data Integration
EMQX Node 2
EMQX Node 3
EMQX Node N
Fleet applications
Fleet operations
Fleet management
Monitoring
Simulation
AI agents
Example agent roles
Task planning
Diagnostics
Operator assistance
Data and analytics
Apache Kafka
Data lake
BI dashboards
A bridge translates selected ROS/DDS data to MQTT; EMQX routes it to fleet applications.
Capabilities
Why EMQX for connected robots
Responsive messaging
Exchange telemetry and supervisory commands with low latency between robots and connected applications.
Performance guideResilient operations
Distribute messaging across a cluster to reduce service disruption when a broker node fails.
Clustering guideDevice and data security
Encrypt connections with TLS, authenticate clients, and control which topics each robot or application can access.
Security guideROS/DDS integration
Use a bridge application to translate selected ROS/DDS messages into MQTT for communication beyond the local robot network.
ROS 2 bridge exampleTwo-way communication
Combine MQTT delivery options and session settings to support telemetry and commands as robots reconnect.
MQTT delivery guideData for AI applications
Route robot telemetry to AI services and return application-generated results or commands over MQTT.
HTTP delivery guideApplications
What you can build for connected robots
Connect diverse robotic applications through a unified data backbone.
Multi-robot coordination
Share robot status and task updates to coordinate fleets across sites.
Autonomous mobility
Send telemetry and selected sensor data to edge or cloud services for analysis and fleet supervision.
Warehouse automation
Connect autonomous mobile robots to warehouse systems for task assignment, inventory updates, and monitoring.
Smart agriculture
Combine data from drones and ground robots to inform irrigation, fertilization, and field operations.
Customer story
EVENTEC connects community robot fleets
EVENTEC uses EMQX for bidirectional robot-to-cloud messaging, telemetry, task dispatch, and multi-robot coordination. The platform supports service robots for delivery, security, and cleaning across residential communities.
Read the case study
Resources
Explore EMQX for connected robots
FAQ
Frequently asked questions
EMQX routes MQTT messages between robots and applications. It supports fleet telemetry, remote monitoring, and supervisory commands across edge and cloud.
MQTT has compact messages and a publish-subscribe model. Robots can share data with multiple applications without maintaining a separate connection to each one.
A bridge application subscribes to selected ROS topics, translates their data into MQTT payloads, and publishes to EMQX. Commands can follow the reverse path through the bridge.
EMQX distributes connections and message routing across a cluster. Size and test the deployment for your fleet, message rate, payloads, and network conditions.
Configure TLS for encryption in transit, client authentication, and topic-level authorization. Use separate credentials and permissions for robots and backend applications.
Examples include warehouse robot coordination, remote fleet monitoring, agricultural robotics, and telemetry pipelines for AI analysis.
Connect your robot fleet with EMQX
Plan your robot connectivity, ROS/DDS bridge, and cloud integrations with an EMQX expert.