Robotics
Robotics system design, ROS, sensor fusion, autonomous navigation, edge AI, and connecting robots to the real world.
Connecting ROS 2 Robots to Cloud Backends
Getting data from a ROS 2 system into the cloud means dealing with DDS transport, ros bridge, and telemetry pipelines that can handle the volume. This post also covers OTA updates and remote monitoring dashboards for autonomous platforms.
Running AI Inference on Edge Hardware for Robotics
Cloud inference is too slow for robots that need to react in real time. This post looks at deploying computer vision and sensor fusion models on Jetson, Raspberry Pi, and OAK D, and how to optimize with TensorRT and ONNX without losing accuracy.
Building a Navigation Stack for Autonomous Ground Vehicles
Autonomous navigation is a systems problem. You need sensor fusion across LiDAR, IMU, and GPS, a SLAM implementation that holds up in the real world, path planning, obstacle avoidance, and software that fails safely. This post walks through the full stack.