How to Import MCAP Data into FiftyOne Using Agent Skills

Voxel51 describes how its open-source FiftyOne agent skills can let AI coding agents import raw MCAP robotics recordings into synchronized, browsable multimodal datasets without manually writing parsing scripts. The featured fiftyone-dataset-import skill inspects lightweight channel schemas rather than decoding all sensor messages initially, identifies streams such as LiDAR, RGB-D, thermal imagery, IMU data, and transforms, and creates a FiftyOne dataset with a shared playback timeline. The walkthrough uses CAVERS, a public 335 GB cave-based SLAM benchmark containing 24 sequences captured with RGB-D, thermal, LiDAR, and motion-capture systems, to demonstrate synchronized visualization, trajectory extraction, coordinate-frame inspection, and detection of recordings lacking ground-truth data. It also explains that the same workflow can be implemented reproducibly with the open-source FiftyOne SDK and the pure-Python mcap package, allowing teams to use natural-language agent requests for exploration while maintaining code-based pipelines for recurring imports.

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