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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): GRA1434
phone(s): [+41 21 69] 36891,31296
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
J. Pugh and A. Martinoli, ``The Cost of Reality: Effects of Real-World Factors on Multi-Robot Search,'' in Proceedings of the IEEE International Conference on Robotics and Automation, pp. 397-404, 2007.
[ Details | Full Text | Link ]
C. M. Cianci, X. Raemy, J. Pugh, and A. Martinoli, ``Communication in a Swarm of Miniature Robots: The e-Puck as an Educational Tool for Swarm Robotics,'' in Proceedings of Simulation of Adaptive Behavior (SAB-2006), Swarm Robotics Workshop, Lecture Notes in Computer Science (LNCS), pp. 103-115, 2007.
[ Details | Full Text ]
N. Correll and A. Martinoli, ``System Identification of Self-Organizing Robotic Swarms,'' in Proceedings of the 8th Int. Symp. on Distributed Autonomous Robotic Systems (DARS), Distributed Autonomous Robotic Systems, pp. 31-40, Springer Verlag, 2006. Best Paper Award.
[ Details | Full Text | Link ]
A. Martinoli, K. Easton, and W. Agassounon, ``Modeling Swarm Robotic Systems: A Case Study in Collaborative Distributed Manipulation,'' Int. Journal of Robotics Research, vol. 23, no. 4, pp. 415-436, 2004. Special Issue on Experimental Robotics, B. Siciliano, editor.
[ Details | Full Text ]
A. T. Hayes, A. Martinoli, and R. M. Goodman, ``Distributed Odor Source Localization,'' IEEE Sensors Journal, vol. 2, no. 3, pp. 260-271, 2002. Special Issue on Artificial Olfaction, H. T. Nagle, J. W. Gardner, and K. Persaud, editors.
[ Details | Full Text ]
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
Gowal Sven Adrian
Lochmatter Thomas Thesis details
Longchamp Valentin
Mermoud Grégory
Prorok Amanda


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