September 3, 20247 min read
An Autonomous Mobile Robot with ROS2, AWS IoT, and Docker
Developing an inspection-oriented robot integrating ROS2, AWS IoT, and Docker for advanced industrial automation.
ROS2
AWS IoT
Docker
ML Algorithms
5G
TL;DR — I built an autonomous mobile robot that navigates facilities, captures inspection data, and streams insights to the cloud in real time — turning a single robot into a scalable inspection platform.
The Problem
Industrial inspection is repetitive, sometimes dangerous, and benefits enormously from automation. Doing it manually doesn't scale and puts people in harm's way.
What I Built
- ROS2 formed the robotics backbone, handling navigation, sensor fusion, and motion control.
- Containerizing the software stack with Docker let us version and deploy robot capabilities like any other modern application — keeping fleets consistent and reproducible.
- AWS IoT connected the robot to the cloud, enabling fleet orchestration, remote command, and secure data ingestion.
- ML algorithms ran anomaly detection during inspections, and 5G connectivity moved high-bandwidth data with low latency.
Why It Matters
The combination of edge intelligence and cloud coordination turned a single robot into a scalable inspection platform suitable for demanding industrial environments.
The Tech Behind It
ROS2 · AWS IoT · Docker · Machine Learning · 5G · Sensor Fusion