Add a guide for creating new conversion packages for rosidl::Buffer#6654
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Signed-off-by: CY Chen <cyc@nvidia.com>
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HTML artifacts: https://github.com/ros2/ros2_documentation/actions/runs/25677433100/artifacts/6921715528. To view the resulting site:
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Description
Add a new page for a guide to creating a new conversion packages for
rosidl::Buffer.The page explains how conversions packages differ from
rosidl::BufferBackendplugins: backends handle storage and transport, while conversions packages adapt existing ROS messages withuint8[]payload fields, such as tensors, images, or point clouds, into library-specific native types.It also includes tensor-specific guidance for
tensor_msgs/msg/ExperimentalTensor, documentstorch_conversionsas the first reference implementation, and outlines how future packages such as ONNX, NumPy, or CuPy conversions can interoperate through the common tensor message while using CPU or supported non-CPU buffer backends underneath.Did you use Generative AI?
Yes, GPT-5.5 was used to help create an initial draft of the content.