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# Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks

_Unveiling the true robustness of multimodal models: A comprehensive framework to explore whether models are plausibly resilient._

**Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks** [[Paper]](https://arxiv.org/abs/1234.56789) \
Amit Parekh, Nikolas Vitsakis, Alessandro Suglia, and Ioannis Konstas.
# [Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks](https://arxiv.org/abs/1234.56789)

<a href="https://www.python.org/"><img alt="Python 3.11" src="https://img.shields.io/badge/Python 3.11-blue?logo=python&logoColor=white"></a>
<a href="https://pdm-project.org/en/latest/"><img alt="PDM" src="https://img.shields.io/badge/PDM-AC75D7?logo=pdm&logoColor=white"></a>
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[![arXiv](https://img.shields.io/badge/arXiv-1234.56789-b31b1b.svg)](https://arxiv.org/abs/1234.56789)


_Amit Parekh, Nikolas Vitsakis, Alessandro Suglia, and Ioannis Konstas._

<br />

![Table of perturbations from the paper](docs/PERT%20Table.png)

_Unveiling the true robustness of multimodal models: A comprehensive framework to explore whether models are plausibly resilient._





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> [!NOTE]
> This project is codenamed `cogelot` so that's what the library is called to prevent needing to rewrite everything.
- [Evaluation Framework Overview](#our-evaluation-framework)
- [What is included in this project?](#what-is-included)
- [Model Architectures and Provided Checkpoints](#model-architectures-and-checkpoints)
- [How I ran things](#how-i-ran-things)
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## Evaluation Framework Overview
![Table of perturbations from the paper](docs/PERT%20Table.png)
<div align='center'>
<small><i>Our evaluation framework. Each perturbation affects the instruction or observation inputs, which can be linguistic, visual, or a combination of both. The plausibility of a perturbation relates to a model's expected performance.</i></small>
</div>

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