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arxiv:2509.17057
RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulated Environments
Published on Sep 21
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Abstract
RoboManipBaselines is an open framework for robot imitation learning that facilitates systematic benchmarking of tasks, robots, and multimodal policies with a focus on integration, generality, extensibility, and reproducibility.
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RoboManipBaselines is an open framework for robot imitation learning that unifies data collection, training, and evaluation across simulation and real robots. We introduce it as a platform enabling systematic benchmarking of diverse tasks, robots, and multimodal policies with emphasis on integration, generality, extensibility, and reproducibility.
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