16 citations · 17 across the 11 of their papers we have counts for
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cs.RO2024
Inference-Time Policy Steering through Human Interactions
Yanwei Wang, Lirui Wang, Yilun Du +6
Generative policies trained with human demonstrations can autonomously accomplish multimodal, long-horizon tasks. However, during inference, humans are often removed from the polic…
cs.RO2024
Latent Action Pretraining from Videos
Seonghyeon Ye, Joel Jang, Byeongguk Jeon +13
We introduce Latent Action Pretraining for general Action models (LAPA), an unsupervised method for pretraining Vision-Language-Action (VLA) models without ground-truth robot actio…
cs.RO2024★ 1 cited
RVT-2: Learning Precise Manipulation from Few Demonstrations
Ankit Goyal, Valts Blukis, Jie Xu +3
In this work, we study how to build a robotic system that can solve multiple 3D manipulation tasks given language instructions. To be useful in industrial and household domains, su…