LLaRA
Collection
Models released with LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
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This model is released with paper LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
Xiang Li1, Cristina Mata1, Jongwoo Park1, Kumara Kahatapitiya1, Yoo Sung Jang1, Jinghuan Shang1, Kanchana Ranasinghe1, Ryan Burgert1, Mu Cai2, Yong Jae Lee2, and Michael S. Ryoo1
1Stony Brook University 2University of Wisconsin-Madison
Model type: This repository contains three models trained on three subsets respectively, converted from VIMA-Data. For the conversion code, please refer to convert_vima.ipynb
Paper or resources for more information: https://github.com/LostXine/LLaRA
Where to send questions or comments about the model: https://github.com/LostXine/LLaRA/issues