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Learn to create and implement custom interfaces for ROS 2 messages and services in this 40-minute tutorial that advances your robotics development skills beyond built-in data types. Master the creation of a dedicated interface package using ament_cmake, defining .msg files for sensor data like 3-axis accelerometer readings, and .srv files for client-server communication such as requesting random 3D points. Discover how to properly configure package.xml and CMakeLists.txt with necessary build and runtime dependencies to ensure cross-language compatibility between Python and C++ nodes. Practice implementing custom interfaces through hands-on examples including a Python publisher broadcasting fake accelerometer data, a C++ subscriber processing this data, a Python server generating random geometry points, and a C++ client making asynchronous requests. Explore the seamless integration of different programming languages through ROS 2's middleware architecture while building request/response systems with proper message typing and callback handling. Gain essential skills for developing scalable, production-grade robotics software that requires bespoke data formats for sensor data, navigation paths, and control parameters.
