Teaching by Practice the Basis of Consensus for Multi-Agent Systems. Issue 12 (2021)
- Record Type:
- Journal Article
- Title:
- Teaching by Practice the Basis of Consensus for Multi-Agent Systems. Issue 12 (2021)
- Main Title:
- Teaching by Practice the Basis of Consensus for Multi-Agent Systems
- Authors:
- Bertrand, S.
Maniu, C. Stoica
Vlad, C. - Abstract:
- Abstract: This paper provides in depth feedback on a new course on consensus for multi-agent systems developed for graduate students. The considered pedagogic approach gives a simple theoretical basis to the students through very few lectures while putting a strong effort into practice and applications. The paper describes how the transition to full remote teaching has been achieved due to the Covid-19 pandemic, especially regarding practical work sessions. Initially planed with aerial robots, practical work sessions have been modified to use a remote online platform for multi-robot experiments, Robotarium from Georgia Tech. To keep lectures and practical work sessions attractive to the students, especially in this remote learning context, a motivating example has been proposed to students, mixing arts and sciences, and consisting in re-creating a choreography from a kite contest video with a multi-robot system.
- Is Part Of:
- IFAC-PapersOnLine. Volume 54:Issue 12(2021)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 54:Issue 12(2021)
- Issue Display:
- Volume 54, Issue 12 (2021)
- Year:
- 2021
- Volume:
- 54
- Issue:
- 12
- Issue Sort Value:
- 2021-0054-0012-0000
- Page Start:
- 20
- Page End:
- 25
- Publication Date:
- 2021
- Subjects:
- Multi-Agent Systems -- Consensus -- Remote Laboratories
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2021.11.004 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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