Teaching by practice the basis of consensus for Multi-Agent Systems - Archive ouverte HAL
Communication Dans Un Congrès Année : 2021

Teaching by practice the basis of consensus for Multi-Agent Systems

Résumé

This paper provides in depth feedback on a new course on consensus for multiagent 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 recreating a choreography from a kite contest video with a multi-robot system.
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Dates et versions

hal-03329655 , version 1 (31-08-2021)

Identifiants

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Sylvain Bertrand, Cristina Stoica Maniu, Cristina Vlad. Teaching by practice the basis of consensus for Multi-Agent Systems. IFAC Workshop on Aerospace Control Education, Sep 2021, Milano, Italy. ⟨10.1016/j.ifacol.2021.11.004⟩. ⟨hal-03329655⟩
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