A unifying method-based classification of robot swarm spatial self-organisation behaviours
Abstract
This paper proposes a method-based classification of robot-swarm spatial self-organisation. It unifies behaviours and control methods across aggregation, flocking, coverage, and pattern formation, providing a framework for comparing how swarm-level spatial structures are produced.
Type
Aymeric Hénard
Research Engineer
Jérémy Rivière
Associate Professor
Etienne Peillard
Associate Professor
My research focuses on perception and embodied interaction in Virtual and Augmented Reality, including augmented affordances, body perception, and human-system cooperation in immersive environments.
Sébastien Kubicki
Associate Professor
