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Engineering Swarm Embedded Systems

In this talk, I will give an overview of the current research thrusts (system design, modeling, and off-line machine-learning optimization) carried out in my group with particular emphasis on our main problem domain, collective mobile robotics. First, I will introduce the general principles of Swarm Intelligence (individual simplicity and autonomy, distributed control, scalability, and self-organization) and how they can be adapted to the currently available engineering technologies of sensing, acting, computing, and communicating. I will then present a set of case studies, which differ in the collective task performed (collective manipulation, distributed sensing, collective movements) and in the type of the robotic platform used. In each of these experiments, I will outline particularly interesting research issues within one of the thrusts mentioned above. After having discussed results, advantages, and limitations of the current methods, I will finally describe the future challenges that will have to be faced in order to deploy large-scale, distributed, mobile, embedded systems for real-world applications.

Type of Seminar:
Public Seminar
Dr. Alcherio Martinoli
Collective Robotics Group (CORO) California Institute of Technology, Pasadena, U.S.A.
Mar 14, 2002   17:15

ETH Zentrum, Gloriastrasse 35, ETZ room E6
Contact Person:

Prof. M.Morari
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Biographical Sketch:
Alcherio Martinoli has a B.Sc. and a M.Sc. 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 spent one year as Research Scientist at the Institute of Biomedical Engineering of the ETHZ and one year at the Institute of Industrial Automation of the Spanish Research Council in Madrid, Spain. His Ph.D. focused on modeling and performance prediction of distributed robotics systems, evolutionary methods for distributed control design, and system design of miniature robots and collective-specific mechatronic modules. He is currently research faculty and head of the Collective Robotics Group at the California Institute of Technology, a group which is part of the Center for Neuromorphic Systems Engineering. His research interests include swarm intelligence, collective robotics, distributed control, networks of sensors and actuators, and machine-learning techniques applied to distributed problems.