This repository contains the prototype implementation of the project described in the paper.
Gargioni, Luigi and Fogli, Daniela and Baroni, Pietro.
"Preparation of Personalized Medicines through Collaborative Robots: A Hybrid Approach to the End-User Development of Robot Programs"
ACM Journal on Responsible Computing, 2025.
Publisher: ACM New York, NY.
If you use this project in your research, please cite the following paper:
@article{gargioni2025preparation,
title={Preparation of Personalized Medicines through Collaborative Robots: A Hybrid Approach to the End-User Development of Robot Programs},
author={Gargioni, Luigi and Fogli, Daniela and Baroni, Pietro},
journal={ACM Journal on Responsible Computing},
year={2025},
publisher={ACM New York, NY}
}The research reported in this paper proposes a new approach to collaborative robots that aims at improving the simplicity and efficiency of the programming task for non-technical users. It is grounded on three standpoints: (i) an elementary and disciplined paradigm for robot programming, called the simple programming journey, (ii) a hybrid interaction mode where robot tasks can be programmed using a natural language chat and, if necessary, can be completed and finalized through a block-based interface, and (iii) a robust cognitive match between the mental models of the user and the programming interface. The proposed approach has been implemented and tested through the development of a prototype programming environment called PRAISE, which can be tailored to different application domains through the definition of objects, locations, and actions. PRAISE has been tested by real users with a COBOTTA robot by DENSO WAVE Ltd. Two experimental tests have been carried out in order to validate the novel approach proposed and to assess its impact on end-user programming. The results obtained show that a hybrid approach exploiting both natural language dialogue and block-based interaction can help make the programming task easy and efficient for non-technical users.
- Default Port:
8000
- Python 3.11.x
- Poetry (pip installation is not the official one, but the easiest)
poetry installpoetry run startUpdate with versions from pyproject.toml:
poetry update
Update pyproject.toml with latest versions retrieved from internet:
poetry run poetryup- Folder:
src
npm install- Visual Studio Code Exstension: Versions Lens
npm start-
Username:
operator1
Password:Operator_1!
Type:Operator -
Username:
manager1
Password:passwordmanager1
Type:Manager -
Username:
admin
Password:adminpassword
Type:Administrator/Manager