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Jessica Borja-Diaz

2 accepted papers

2023

Grounding Language with Visual Affordances over Unstructured Data

ICRA 2023poster

Recent works have shown that Large Language Models (LLMs) can be applied to ground natural language to a wide variety of robot skills. However, in practice, learning multi-task, language-conditioned robotic skills typically requires large-scale data collection and frequent human intervention to rese…

Cited by 122SourcecodeScholar
2022

Affordance Learning from Play for Sample-Efficient Policy Learning

ICRA 2022poster

Robots operating in human-centered environments should have the ability to understand how objects function: what can be done with each object, where this interaction may occur, and how the object is used to achieve a goal. To this end, we propose a novel approach that extracts a self-supervised visu…

Cited by 45SourcecodeScholar