logo epfl
Ecole Polytechnique Fédérale de Lausanne
français | english
 EPFL > people@EPFL > Alcherio Martinoli login

Associate Professor
ENAC
IIE
DISAL

Associate Professor
AA
AA-DOC
EDPR-ENS
Associate Professor
ENAC
ENAC-SSIE
SSIE-ENS
Alcherio Martinoli
Associate Professor
PhD (EPFL, 1999)
web site: http://disal.epfl.ch/

office(s): GRA2454
phone(s): [+41 21 69] 36891,38098,31296
BIOGRAPHY
Alcherio Martinoli has a 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). He is the head of the Swarm-Intelligent Systems Group (SWIS, see http://swis.epfl.ch) and before joining EPFL he carried out research activities at the Institute of Biomedical Engineering of the ETHZ (one year), at the Institute of Industrial Automation of the Spanish Research Council in Madrid, Spain (one year), and at the California Institute of Technology, Pasadena, U.S.A. (4 years), where he is maintaining a part-time Visiting Associate position in Mechanical Engineering. His research interests focus on techniques to design, control, model, and optimize distributed, real-time, embedded systems, including swarms of robots, sensor and actuator networks, intelligent vehicles, and micro- and nano-systems. He is currently associate editor for the new journal on Swarm Intelligence published by Springer Verlag and reviewer for fifteen major international journals and fifteen international conferences in his area of expertise. He has been general co-chair for IEEE SIS 2005, program co-chair for ANTS 2006, steering committee member for ROBOCOMM 2007, and associate editor for IEEE ICRA 2007 and 2008. He received from the EPFL General Student Association the 2006 Best Teacher Award for Computer and Communication Sciences and the Best Paper Award at DARS 2006.
MAIN PUBLICATIONS

A. Bahr, W. C. Evans, H. Huwald, C. Higgins, M. Parlange, and A. Martinoli. Measuring Sensible Heat Flux with High Spatial Density. In IEEE Sensor Applications Symposium, 2012. [ Details ]

G. Mermoud, M. Mastrangeli, U. Upadhyay, and A. Martinoli. Real-Time Automated Modeling and Control of Self-Assembling Systems. In Proceedings of the 2012 IEEE International Conference on Robotics and Automation, 2012. [ Details ]

A. Prorok, L. Gonon, and A. Martinoli. Online Model Estimation of Ultra-Wideband TDOA Measurements for Mobile Robot Localization. In IEEE International Conference on Robotics and Automation (ICRA), 2012. To appear. [ Details ]

A. Prorok, A. Bahr, and A. Martinoli. Low-Cost Collaborative Localization for Large-Scale Multi-Robot Systems. In IEEE International Conference on Robotics and Automation (ICRA), 2012. To appear. [ Details ]

S. Kernbach, G. Mermoud, A. Prorok, L. Matthey, C. M. Cianci, N. Correll, and A. Martinoli. Self-Organized Robotic Systems: Large-Scale Experiments in Aggregation and Self-Assembly using Miniature Robots. In Handbook of Collective Robotics. Pan Stanford Publishing, 2012. to appear. [ Details ]

CURRENT WORK
• Distributed Robotic Systems for Sound and Odor Localization
• Distributed Robotic Systems for Coverage and Inspection
• Power-Aware Resource Allocation and Attention in (Mobile) Sensor Networks

Alcherio Martinoli’s research is sponsored by the Swiss National Science Foundation, the National Center of Competence in Research for Mobile Information and Communication Systems, the EPFL Integrated Systems Center, the Federal Institute for Materials Science and Technology, and the European Commission.
MISSION
Alcherio Martinoli’s research mission focuses on the development of (automatic) design, modeling, control, and optimization methodologies for self-organized, collectively intelligent, distributed systems. A special emphasis is currently set on real-time, embedded systems such as mobile robots, sensor and actuators networks, intelligent vehicles, and micro- and nano-systems. Alcherio’s further interests lie in the understanding and control of natural, collective systems and mixed societies consisting of natural and artificial components. His research policy relies on a continuous loop between theory and real-world experiments using modeling and computational techniques.
Skills
Swarm Intelligence, Distributed and Networked Robotics, S&A Networks
Teaching
Environmental Sciences and Engineering

Phd programs
Phd Students
Arfire Adrian
Boberg Klara Maria
Di Mario Ezequiel Leonardo
Dias Almeida Rodrigues Soares Jorge Miguel
Evans William Christopher
Ferreira Maia Pereira José Nuno
Gowal Sven Adrian
Jalsan Khash-Erdene
Mermoud Grégory
Prorok Amanda Stella Markowska


©2004-2012 Alcherio Martinoli - EPFL, 1015 Lausanne - last updated : 2008-08-20 14:57:51
The owner of this page is fully responsible for its contents