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Administrative data

Alcherio Martinoli

alcherio.martinoli@epfl.ch https://disal.epfl.ch/

EPFL ENAC IIE DISAL
GR A2 454 (Bâtiment GR)
Station 2
1015 Lausanne

Expertise

Autonomous Robotics; Distributed Robotics; Swarm Robotics; Distributed Intelligent Systems; Sensor and Actuator Networks; Intelligent Vehicles; Swarm Intelligence; Distributed Control and Estimation; Mechatronic Design; Localization and Navigation

Mission

My research interests focus on methods to design, control, model, localize, and optimize distributed intelligent systems, including multi-robot systems, sensor and actuator networks, and intelligent vehicles. I am also interested in the understanding and control of mixed societies consisting of natural and artificial components. My research policy relies on iteratively closing the loop between theory and physical experiments using model-based and data-driven techniques. Our research output ranges from fundamental, methodological aspects to more applied contributions, often associated with application areas of interest of the ENAC school, especially in environmental and civil engineering.
I received my Diploma in Electrical Engineering from the Swiss Federal Institute of Technology in Zurich (ETHZ), and a Ph.D. in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL). I am currently Full Professor at the School of Architecture, Civil, and Environmental Engineering and the head of the Distributed Intelligent Systems and Algorithms Laboratory. Before joining EPFL I carried out research activities at the Institute of Biomedical Engineering of the ETHZ, at the Institute of Industrial Automation of the Spanish Research Council in Madrid, Spain, and at the California Institute of Technology, Pasadena, U.S.A. Additional information can be found on my full CV.

Publications of Alcherio Martinoli

Teaching & PhD

PhD Students

Yacine Derder, Nicolaj Bösel-Schmid, Lucas Cédric Wälti, Alexander Wallen Kiessling, Wanting Jin

Past EPFL PhD Students

Kagan Erünsal (2024), Cyrill Baumann (2024)

Courses

Signals, instruments and systems

ENG-366

The goal of this course is to transmit knowledge in sensing, computing, communicating, and actuating for programmable field instruments and, more generally, embedded systems. The student will be able to put in practice the knowledge acquired using concrete software and hardware tools.