CODECO P5 – AMR Manufacturing Datasets

CODECO P5 – AMR Manufacturing DatasetsDemo Video (Introduction & Live Demonstration) https://www.youtube.com/watch?v=K9E95pEFVHAThis repository contains datasets collected from the CODECO P5 Automated Mobile Robot (AMR) Manufacturing testbed.The datasets capture synchronized information from:Kubernetes cluster infrastructurePrometheus monitoring metricsROS2 robot telemetryrobot navigation systemsThe testbed includes:Kubernetes clusterPrometheus monitoring stackTurtleBot3 Burger robotsROS2 Humble middlewareNav2 navigation stackThese datasets support research in:edge roboticsrobot fleet orchestrationdistributed navigationedge–cloud continuum computingDataset 1 — AMR Node Status LogsDataset DescriptionThe AMR Node Status Logs dataset records the state of the robotics infrastructure and robots over time.It synchronizes data from multiple sources:Kubernetes pod/node informationPrometheus container metricsROS2 robot telemetry (battery and odometry)network latency measurements to robotsThis dataset allows analysis of robot workloads and infrastructure behaviour in edge robotics environments.Data Schema| Field | Type | Description ||---|---|---|timestamp | string | measurement timestamp |node | string | Kubernetes node name |pod | string | Kubernetes pod identifier |container | string | container name |cpu_usage | float | container CPU usage |memory_usage | integer | container memory usage (bytes) |pod_status | string | Kubernetes pod state |robot | string | robot identifier |network_latency_ms | float | ping latency to robot |battery | float | robot battery percentage |x | float | robot position X |y | float | robot position Y |theta | float | robot orientation |Exampletimestamp,node,pod,container,cpu_usage,memory_usage,pod_status,robot,network_latency_ms,battery,x,y,theta2026-03-09T11:00:00,master,pc-slam-42dd,pc-slam,0.48,512000000,Running,,,,2026-03-09T11:00:00,burger3,turtlebot-bringup-1fa,turtlebot-bringup,0.21,256000000,Running,,,,2026-03-09T11:00:00,,,,,,,turtlebot2,18,0.92,2.1,3.4,0.78Dataset 2 — Edge Robotics Path DatasetDataset DescriptionThe Edge Robotics Path Dataset captures navigation activity from robots operating in the CODECO AMR testbed.This dataset links robot navigation behaviour with edge infrastructure metrics. It records navigation goals, robot trajectory information, velocity commands, obstacle proximity, and system resource usage.The dataset enables analysis of:navigation performanceobstacle avoidance behaviourrobot motion controlrelationship between robot navigation and infrastructure loadThe data is collected from robots running:ROS2 HumbleNav2 navigation stackTurtleBot3 Burger platformsData Schema| Field | Type | Description ||---|---|---|timestamp | string | measurement timestamp |node | string | Kubernetes node running robot workload |robot_id | string | robot identifier |goal_x | float | navigation goal X coordinate |goal_y | float | navigation goal Y coordinate |robot_x | float | robot position X coordinate |robot_y | float | robot position Y coordinate |path_length | float | planned navigation path length |linear_vel | float | forward velocity |angular_vel | float | turning velocity |closest_obstacle | float | distance to nearest LiDAR obstacle |battery | float | robot battery percentage |cpu_usage | float | CPU usage of navigation container |Exampletimestamp,node,robot_id,goal_x,goal_y,path_length,cpu_usage10:25:01,burger3,turtlebot2,4.2,3.0,6.1,0.41LicenseDatasets in this repository are released under CC-BYCitationIf you use these datasets in research or publications, please cite: CODECO — COgnitive DECentralized Orchestration Horizon Europe Grant Agreement No. 101092696 Dataset ID: HEU-101092696-CODECO-SDGContactFor questions about the datasets contact the fortiss team. For questions on the codeco project:Project: CODECO — COgnitive DECentralized OrchestrationProgramme: Horizon EuropeGrant Agreement: 101092696More information about the project:https://www.codeco-project.eu