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RoboTrace enables the analysis of robotic data via process mining and visual analytics techniques

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SaraPettinari/robotrace

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RoboTrace

RoboTraceLogo RoboTrace is a graphical interface to handle robotic system data and analyze them with process mining techniques. This repository contains the tool for performing the process mining-based analysis to discover robots behavior via a DFG enhanced with contextual perspectives.

Table of Contents

Installation

git clone <repository_link>
cd /<path>/robotrace

Docker

docker build -t robotrace .
docker-compose up --build

Then open your browser at: http://localhost:8080

Source Code

Requirements

  • Python 3.8 or later

Python dependecies installation

Create a virtual environment

python -m venv .venv

Activate the virtual environment

Windows

.venv\Scripts\activate

macOS and Linux

source .venv/bin/activate

Install dependencies

  • Install Graphviz (pm4py requirement) 🔗 here

  • Install Python dependencies:

    pip install -r requirements.txt

Run

python3 main.py  

More Info

Check out the 📘 wiki for detailed documentation and usage examples.

References

  • Corradini, F., Pettinari, S., Re, B., Rossi, L., Tiezzi, F. (2024). A Methodology for the Analysis of Robotic Systems via Process Mining. In: Enterprise Design, Operations, and Computing. EDOC 2023. Lecture Notes in Computer Science, vol 14367. Springer. [🔗 website] [📃 paper]

Contact

✉️ Sara Pettinari (Gran Sasso Science Institute) - sara.pettinari@gssi.it

License

Check License here.

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