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cs.RO2026
RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning
Pablo Ortega-Kral, Eliot Xing, Arthur Bucker +13
Despite recent efforts to collect multi-task, multi-embodiment datasets, to design recipes for training Vision-Language-Action models (VLAs), and to showcase these models on differ…
cs.RO2025
GRAPPA: Generalizing and Adapting Robot Policies via Online Agentic Guidance
Arthur Bucker, Pablo Ortega-Kral, Jonathan Francis +1
Robot learning approaches such as behavior cloning and reinforcement learning have shown great promise in synthesizing robot skills from human demonstrations in specific environmen…