Jad Bassil — accepted AI-conference papers

2022

RePoSt: Distributed Self-Reconfiguration Algorithm for Modular Robots Based on Porous Structure

Jad Bassil, Benoît Piranda, Abdallah Makhoul, Julien Bourgeois

IROS 2022poster

In this paper, we propose a new self-reconfiguration scheme for modular robots based on a metamodule design that allows to form a 3D porous structure. The porous structure enables a parallel flow of modules inside it without blocking. The metamodule can also be used to fill its internal volume with…

Cited by 11 Source ↗Scholar ↗

2020

Linear Distributed Clustering Algorithm for Modular Robots Based Programmable Matter

Jad Bassil, Mohamad Moussa, Abdallah Makhoul, Benoît Piranda, Julien Bourgeois

IROS 2020poster

Modular robots are defined as autonomous kinematic machines with variable morphology. They are composed of several thousands or even millions of modules which are able to coordinate in order to behave intelligently. Clustering the modules in modular robots has many benefits, including scalability, e…

Cited by 11 Source ↗Scholar ↗