Bio-Inspired Distributed Algorithms for Modular Self-Reconfigurable Robots (3D-Catoms)

The DISC (Département d’Informatique des Systèmes Complexes) at the FEMTO-ST Institute (University of Marie & Louis PAsteur) is dedicated to research in computer science with a strong focus on distributed systems, algorithms, networks, and complex system modeling. The department brings together researchers working on cutting-edge topics such as distributed robotics, autonomous systems, communication architectures, and large-scale algorithmic coordination. Through a combination of theoretical work, simulation, and experimental platforms, DISC contributes to advancing robust, scalable computational methods for complex and interconnected systems. It plays a key role within FEMTO-ST’s interdisciplinary environment, bridging computer science with robotics, microtechnology, and intelligent systems.

This six-month research internship focuses on developing new bio-inspired distributed algorithms for 3D-Catoms—millimeter-scale modular robots capable of self-assembly. Working with the OMNI team at the FEMTO-ST Institute, the intern will explore how large groups of these modules can autonomously reorganize into complex 3D shapes without centralized control. Building on a dodder-inspired enrobing algorithm, the project aims to enable the robots to distinguish internal from external regions of irregular or hollow structures and coordinate their movements through purely local interactions. The work includes designing local sensing and communication rules, creating scalable coordination strategies inspired by natural systems, and evaluating the resulting algorithms in simulation (VisibleSim). The internship offers hands-on experience in distributed robotics, collective intelligence, and algorithm design within an international research context.

The ideal candidate is a Master’s student (M2) or a fifth-year engineering student (or equivalent) with strong programming skills in C++. They should have solid knowledge of distributed algorithms and a strong interest in autonomous systems, robotics, or collective intelligence. The candidate is expected to be motivated, curious, and comfortable working on algorithm design, simulation tools, and experimental validation within a research environment.