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Robotics ML students tackle data interoperability, not scarcity

ML students are exploring the challenges of using open-source robotics datasets, finding that the primary hurdle isn't data scarcity but a lack of interoperability. They are considering a large experiment to normalize and enrich existing datasets into a common schema to assess their reusability. The students are seeking input from robotics professionals on their data sharing practices, the actual problems they face, and whether they would utilize a unified API for all public robotics datasets. AI

IMPACT Explores potential solutions to data challenges in robotics ML, which could impact future development if addressed.

RANK_REASON The cluster is a discussion thread on Reddit about a potential experiment, not a release or significant event.

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  1. r/MachineLearning TIER_1 English(EN) · /u/sigma_crusader ·

    Before we spend months processing open-source robotics datasets, tell us why this is a bad idea [D]

    <!-- SC_OFF --><div class="md"><p>Ps. Not pitching anything; Just trying to understand where reality differs from the narrative. </p> <p>We're a couple of ML students, mostly worked on ML/software before, but over the last few months we've been playing with VLAs, robot datasets, …