Teleoperation remains the default way to collect robot demonstrations, but every episode costs robot and operator time, and every new task starts from scratch. We ask whether a coding agent can take o
A coding agent automates robot demonstration generation by simulating tasks, rendering photorealistic videos, and producing deployable training data at lower cost than teleoperation.
Teleoperation remains the default way to collect robot demonstrations, but every episode costs robot and operator time, and every new task starts from scratch. We ask whether a coding agent can take over the teleoperator's job. In our DataFarm, the agent receives a data request and one calibration episode of the robot in the target scene and rebuilds the task in simulation: it writes the scene, an expert controller, and a success judge. The simulator supplies exact actions, and a video model conditioned on real images renders each rollout as photographic video, generating all camera views together consistently. The output is real-ready data: synchronized camera views labelled with the…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
PyRUA-DataFarm: LLM Agent as a Cost-Efficient Teleoperator for Real-Ready Robot Data was first seen on Hugging Face · Daily papers on Nov 5, 2026. Since then it has appeared in 14 checks on 2 different days. Its best position was #7 of 30, reached on Nov 6, 01:28 UTC. It dropped off the list after Nov 6, 07:28 UTC.
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It was first seen on Nov 5, 2026 and has been on the list on 2 days (14 checks) since.