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Huong Tran

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…

2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

CoRL 2023poster

We study how vision-language models trained on Internet-scale data can be incorporated directly into end-to-end robotic control to boost generalization and enable emergent semantic reasoning. Our goal is to enable a single end-to-end trained model to both learn to map robot observations to actions a…

Cited by 1068SourceScholar