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Jornell Quiambao

2 accepted papers

2023

RT-1: Robotics Transformer for Real-World Control at Scale

RSS 2023poster

By transferring knowledge from large, diverse, task-agnostic datasets, modern machine learning models can solve specific downstream tasks either zero-shot or with small task-specific datasets to a high level of performance. While this capability has been demonstrated in other fields such as computer…

2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

CoRL 2022oral

Large language models can encode a wealth of semantic knowledge about the world. Such knowledge could be extremely useful to robots aiming to act upon high-level, temporally extended instructions expressed in natural language. However, a significant weakness of language models is that they lack real…

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