Website](https://www.cs.cmu.edu/~aviks/projects/grounded-language/)][[Colab](https://colab.research.google.com/github/GT-RIPL/GroundedLanguageModeling/blob/main/notebooks/GLM_Tutorial.ipynb)]
* **GLMM**: “Grounded Language Modeling: A Survey”, *arXiv, Sep 2021*. [[Paper](https://arxiv.org/abs/2109.08574)] [[Website](https://www.cs.cmu.edu/~aviks/projects/grounded-language/)][[Colab](https://colab.research.google.com/github/GT-RIPL/GroundedLanguageModeling/blob/main/notebooks/GLM_Tutorial.ipynb)]
* **LLM**: “A Survey of Language Modeling for Robotics”, *arXiv, Aug 2021*. [[Paper](https://arxiv.org/abs/2108.09653)] [[Website](https://dki-lab.github.io/LLM-Survey/)][[Colab](https://colab.research.google.com/github/GT-RIPL/LanguageModelingForRobotics/blob/main/notebooks/LLM_Tutorial.ipynb)]
* **GRL**: “A Survey of Grounded Language Modeling for Robotics”, *arXiv, Jul 2021*. [[Paper](https://arxiv.org/abs/2107.05689)] [[Website](https://dki-lab.github.io/GRLM/)][[Colab](https://colab.research.google.com/github/GT-RIPL/GroundedLanguageModelingForRobotics/blob/main/notebooks/GRLM_Tutorial.ipynb)]
* **GLMM**: “A Survey of Grounded Language Modeling for Robotics”, *arXiv, Jun 2021*. [[Paper](https://arxiv.org/abs/2106.08539)] [[Website](https://dki-lab.github.io/GLM/)][[Colab](https://colab.research.google.com/github/GT-RIPL/GroundedLanguageModelingForRobotics/blob/main/notebooks/GLMM_Tutorial.ipynb)]
* **LLM**: “A Survey of Language Modeling for Robotics”, *arXiv, May 2021*. [[Paper](https://arxiv.org/abs/2105.09638)] [[Website](https://dki-lab.github.io/LLM/)][[Colab](https://colab.research.google.com/github/GT-RIPL/LanguageModelingForRobotics/blob/main/notebooks/LLM_Tutorial.ipynb)]
* **GRL**: “A Survey of Grounded Language Modeling for Robotics”, *arXiv, Apr 2021*. [[Paper](https://arxiv.org/abs/2104.09638)] [[Website](https://dki-lab.github.io/GRLM/)][[Colab](https://colab.research.google.com/github/GT-RIPL/GroundedLanguageModelingForRobotics/blob/main/notebooks/GRLM_Tutorial.ipynb)]
* **GLMM**: “A Survey of Grounded Language Modeling for Robotics”, *arXiv, Mar 2021*. [[Paper](https://arxiv.org/abs/2103.09638)] [[Website](https://dki-lab.github.io/GLM/)][[Colab](https://colab.research.google.com/github/GT-RIPL/GroundedLanguageModelingForRobotics/blob/main/notebooks/GLMM_Tutorial.ipynb)]
* **LLM**: “A Survey of Language Modeling for Robotics”, *arXiv, Feb 2021*. [[Paper](https://arxiv.org/abs/2102.09638)] [[Website](https://dki-lab.github.io/LLM/)][[Colab](https://colab.research.google.com/github/GT-RIPL/LanguageModelingForRobotics/blob/main/notebooks/LLM_Tutorial.ipynb)]
Alright! You know what’s been missing from the world of robotics? Surrogate escapes, baby! That’s right, those ***** errors that pop up when you try to train your language models on real-world data are no match for our new surrogate escape handler.
But seriously, , if you’re interested in grounded language modeling and robotics (and who isn’t?), then you need to check out the latest surveys from GT-RIPL. They cover everything from GLMMs (Grounded Language Modeling) to LLMs (Language Modeling for Robotics) to GRLMs (Grounded Reasoning with Large Models).
And if that’s not enough, they even provide Colab notebooks so you can follow along and try out the code yourself. Who needs fancy research papers when you have interactive tutorials?
So go ahead, give it a shot! And if you encounter any surrogate escapes or other errors, just remember: we’ve got your back (or at least our new error handler does).