https://github.com/alecive/peripersonal-space-margin-of-safety-data
https://github.com/alecive/peripersonal-space-margin-of-safety-data
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/alecive/peripersonal-space-margin-of-safety-data
- Owner: alecive
- License: gpl-2.0
- Created: 2016-01-29T19:57:13.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-08-15T14:12:38.000Z (almost 9 years ago)
- Last Synced: 2025-01-15T02:30:44.638Z (4 months ago)
- Language: Matlab
- Size: 49.8 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Peripersonal Space and Margin of Safety Data
This repository stores data and scripts accompanying a PLoS ONE submission entitled _Peripersonal Space and Margin of Safety Around the Body: Learning Visuo-tactile Associations in a Humanoid Robot with Artificial Skin_ by Alessandro Roncone, Matej Hoffmann, Ugo Pattacini, Luciano Fadiga, and Giorgio Metta.
## Requirements
All of the data have been processed and visualized in [MatLab](http://www.mathworks.com/products/matlab/), and it is the only requirement for retrieving the data on this repository.
To clone this repository, the user needs a working `git` client installed on his/her Operating System. If this is not available, it is also possible to download the repository as a `.zip` file by clicking on the `Download ZIP` button on the top of this page.
## Repository Structure
The repository is divided into three subfolders. Each of them deals with each of the three steps shown in the Results section of the paper. In particular:
* `1-montecarlo-simulation-of-a-single-taxel-model` stores the "Learning in a single taxel model" data (i.e. the Matlab simulation of a single taxel);
* `2-learning-on-the-iCub` deals with the real learning experiments on the iCub robot. It is subdivided into:
* Tactile-motor learning via double touch
* Tactile-visual learning from double touch
* Tactile-visual learning using external objects
* `3-avoidance-and-reaching-with-arbitrary-body-parts` contains data recorded during the last experiments, i.e. exploitation of the previously learned representations for avoidance and reaching with any body part.
Each of these subfolders is provided with a `README.md` file that explains the content of the folder and how to run the scripts. If the user is not provided with a software able to read and process `.md` files, it is always possible to view them online (e.g. [here](https://github.com/alecive/peripersonal-space-margin-of-safety-data/blob/master/README.md)), or to rename them as `.txt` files and open them with standard text editor.
Please note that the subfolder named `0-utils` contains only utility functions used by the other subfolders, e.g. the `export_fig` package to save `.eps` figures (source code also avalaible at [this link](http://www.mathworks.com/matlabcentral/fileexchange/23629-export-fig)). It is not in the scope of this repository to explain the functioning of the files contained in that subfolder.
## Video
For an illustrative video, click on the image below (you will be redirected to a youtube video). Note that this video was accompanying a previous publication (Roncone, A.; Hoffmann, M.; Pattacini, U. & Metta, G. (2015), Learning peripersonal space representation through artificial skin for avoidance and reaching with whole body surface, in 'Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on', pp. 3366-3373.), where a different representation of peripersonal space was used. The scenario was sufficiently similar though.
[](http://www.youtube.com/watch?v=3IaXxNwC_7E)