https://github.com/Dsobh/explainable_ROS

https://github.com/Dsobh/explainable_ROS

Last synced: 23 days ago
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• Host: GitHub
• URL: https://github.com/Dsobh/explainable_ROS
• Owner: Dsobh
• Created: 2023-09-19T08:28:12.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-26T10:56:46.000Z (8 months ago)
• Last Synced: 2024-03-26T11:57:43.321Z (8 months ago)
• Language: Python
• Size: 96.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Citation: CITATION.cff

Awesome Lists containing this project

• awesome-foundation-model-ros - explainable_ROS - Generate explanations for the actions performed by an autonomous robot. (Research-Grade Frameworks)
• awesome-foundation-model-ros - explainable_ROS - Generate explanations for the actions performed by an autonomous robot. (Research-Grade Frameworks)

README

        
# explainable_ros

## Usage

```shell

$ ros2 launch explicability_bringup explicability_ros.launch.py

```

```shell

$ ros2 service call /question explicability_msgs/srv/Question "{'question': 'What is happening?'}"

```

## Papers 

- Sobrín-Hidalgo, D., González-Santamarta, M. A., Guerrero-Higueras, Á. M., Rodríguez-Lera, F. J., & Matellán-Olivera, V. (2024). [Explaining Autonomy: Enhancing Human-Robot Interaction through Explanation Generation with Large Language Models](https://arxiv.org/abs/2402.04206). arXiv preprint arXiv:2402.04206.

- Sobrín-Hidalgo, D., González-Santamarta, M. Á., Guerrero-Higueras, Á. M., Rodríguez-Lera, F. J., & Matellán-Olivera, V. (2024). [Enhancing Robot Explanation Capabilities through Vision-Language Models: a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot Interaction](https://arxiv.org/abs/2404.09705). arXiv preprint arXiv:2404.09705.

## Cite

If your work uses this repository, please, cite the repository or following paper:

```

@article{sobrin2024explaining,

  title={Explaining Autonomy: Enhancing Human-Robot Interaction through Explanation Generation with Large Language Models},

  author={Sobr{\'\i}n-Hidalgo, David and Gonz{\'a}lez-Santamarta, Miguel A and Guerrero-Higueras, {\'A}ngel M and Rodr{\'\i}guez-Lera, Francisco J and Matell{\'a}n-Olivera, Vicente},

  journal={arXiv preprint arXiv:2402.04206},

  year={2024}

}

```

## Acknowledgments

This project has been partially funded by the Recovery, Transformation, and Resilience Plan, financed by the European Union (Next Generation) thanks to the TESCAC project (Traceability and Explainability in Autonomous Cystems for improved Cybersecurity) granted by INCIBE to the University of León, and by grant PID2021-126592OB-C21 funded by

MCIN/AEI/10.13039/501100011033 EDMAR (Explainable Decision Making in Autonomous Robots) project, PID2021-126592OB-C21 funded by MCIN/AEI/10.13039/501100011033 and by ERDF ”A way of making Europe”.