Cyrill Baumann



GR A2 475 (Building GR)
Station 2
CH-1015 Lausanne
Phone: +41 21 693 98 22
[email protected]

Short Biography

I am currently a scientific assistant at DISAL working on modeling of formation control for distributed robotics. I received my masters degree in microengineering with specialization in robotics in 2018 and my B.Sc. in microengineering in 2016 from EPFL.  More information about me can be found in the following:

Research Interests and Projects

My research interests include multi-robot systems, modeling and control generation with machine learning. I am part of a joint project between Melco and DISAL which started in 2018. The main focus of this project is on multi-level modeling of multi-robot systems and its interest for control generation. More information about my research can be found here.

Teaching and Service Activities

I have been involved in teaching since 2014 starting from the programming course at EPFL. I am serving as TA in the Signals, Instruments, and Systems (SIS), and Distributed Intelligent Systems (DIS) courses at DISAL since 2018. I particularly enjoy supervising and collaborating with students on topics relevant to my research. Projects on behavior based control of robots as well as control generation are among the projects I have supervised.



Spatial microscopic modeling of collective movements in multi-robot systems: Design choices and calibration

C. Baumann; A. Martinoli 

Frontiers In Robotics And Ai. 2022-10-06. Vol. 9, p. 961053. DOI : 10.3389/frobt.2022.961053.

Hybrid Flock – Formation Control Algorithms

C. Baumann; J. Perolini; E. Tourki; A. Martinoli 

2022. The 16th International Symposium on Distributed Autonomous Robotic Systems, Montbéliard, France, November 28-30, 2022.

Leveraging Multi-Level Modelling to Automatically Design Behavioral Arbitrators in Robotic Controllers

C. Baumann; H. Birch; A. Martinoli 

2022. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, October 23-27, 2022. p. 9318-9325. DOI : 10.1109/IROS47612.2022.9981817.

A Noise-Resistant Mixed-Discrete Particle Swarm Optimization Algorithm for the Automatic Design of Robotic Controllers

C. Baumann; A. Martinoli 

2022. IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, July 18-23, 2022. p. 1-9. DOI : 10.1109/CEC55065.2022.9870229.


A modular functional framework for the design and evaluation of multi-robot navigation

C. Baumann; A. Martinoli 

Robotics and Autonomous Systems. 2021-08-04. Vol. 144, p. 103849. DOI : 10.1016/j.robot.2021.103849.