arXiv Machine Learning By Leon Pohl, Lukas Beer, George Sebastian, Mirko Maehlisch

Modeling Robotics Dataset Construction as an Artifact-Based Build Process

Read the original on arXiv Machine Learning →

arXiv:2606. 00162v1 Announce Type: cross Abstract: Robotic systems generate large volumes of multimodal sensor data, but converting ROS bag recordings into machine learning datasets is often handled by ad hoc sequential scripts, creating engineering overhead and slow iteration cycles.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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