Robotic Mission Adaptation eXemplars
This repository is an extensible collection of robotic mission adaptation exemplars to capture key sources of uncertainty, adaptation concerns, and other distinguishing characteristics of such applications.
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If you are a robotic application stakeholder (e.g., researchers, developers, op erators, and end-users) and would like to contribute to this repository please fill our questionnaire.
- If you have any problem accessing this online questionnaire, you could fill it in the form of a PDF that you'll find here and send it to us via email adresses that are mentioned below.
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Once we recieve your answers, we will review them and get back to you if we need any clarification. The review process is done by the maintainers of the repository.
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Once the most recently inserted exemplars are solid, we add them to the collection which is accessible from this repository.
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Please do not hesitate to contact us if you need help with anything:
Mehrnoosh Askarpour ([email protected])
Christos Tsigkanos ([email protected])
Claudio Menghi ([email protected])
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The first release of this repository (
), including 14 exemplars has been accepted at SEAMS21. In order to cite our work, please use the entry below (to be updated as soon as the proceedings are published):
@inproceedings{robomax,
author = {Mehrnoosh Askarpour, Christos Tsigkanos, Claudio Menghi, Radu Calinescu, Patrizio Pelliccione, Sergio Garcia, Ricardo Caldas, Tim J von Oertzen, Manuel Wimmer, Luca Berardinelli, Matteo Rossi, Marcello M. Bersani, Gabriel S. Rodrigues},
title = {RoboMax: Robotic Mission Adaptation eXemplars},
booktitle = {{SEAMS} '21: {IEEE/ACM} 16th International Symposium on Software Engineering
for Adaptive and Self-Managing Systems, Virtual,
17 May - 24 May, 2021},
year = {2021},
}