Master Research Unit
Networking (ISN) deals with intelligent behaviour, learning,
optimization in machines, network devices and robots. This Master
(MRU) is focused on the design of computational systems that function
communicate in a changing, unpredictable and usually incompletely-known
environment by displaying high-level abilities. The goal is to draw
from nature, human performance and mathematically-sound problem-solving
in order to build powerful systems capable of achieving complex goals
communicating in complex environments using limited resources.
Intelligent Systems have knowledge, beliefs, preferences and goals, and they have informational as well as motivational attitudes, such as observing, communicating, planning, anticipating and committing. They are able to reason about other systems and about their internal states and they are able to simulate and to optimize their performances. Intelligent Systems adapt to unpredictable and dynamic situations by using learning capabilities, which guarantee a high degree of autonomy.
Students graduating from this program have developed a taste for working on complex problems and will most likely look for careers where they will be able to apply their knowledge in an interdisciplinary area with enhanced analytical and technical skills. Examples include (network) planning, scheduling, control, robotics, business forecasting, intelligent searching agents, video games, artificial music, diagnostics, speech recognition, environmental monitoring, e-health, VoIP for mobile users.
known, motivated and active
researchers are professors on the Intelligent Systems and Networking
are all involved in Swiss and International research and applied
they emphasize close contact with students. Collaborations with
guarantee the possibility to experiment, test and validate the result
study materials. Visiting professors from renowned universities
top-quality teaching staff.
Intelligent Systems and Networking MRU is a SUPSI, DTI initiative. ISN is a join effort between IDSIA, Istituto Dalle Molle di studi sull’Intelligenza Artificiale (www.idsia.ch), Information Systems and Networking Institute (http://isin.dti.supsi.ch/home.html) and FernFachHochschule Schweiz (http://www.fernfachhochschule.ch).
Master Research Unit
Intelligent Systems and Networking: research areas
Optimisation and Decision Support
simulation and optimization are fundamental
to solve problems in a number of fields of science, technology and
Machine Learning and Data Mining
learning arise in a wide range of modern
applications: web search, robotics & embedded computing, pattern
recognition, scientific computing, scheduling, optimization, etc.
Intelligent Networking (opportunistic, mesh and ad hoc networking)
Multi-hop ad hoc
networking is an area of computer networking that encountered large
interest from both civilian and industrial research.
Understanding the foundation of robotics is essential for building complete knowledge of artificial systems. Intelligence appears when a physical life-form is interacting with the environment and it can only be observed in an interactive process. Artificial systems cannot be fully understood by simulating these systems, because generalization from real embodies systems to simulated systems leads always to an oversimplification of the real world and its challenges. Upon completion, students learn about the different classes of robots, their application areas and their varying concepts of programming and problem solving strategies. Topics: Overview of Robotics in Practice and Research; Sensors and Actuators; Low Level Feedback Control; Computer Vision for Robotics; Robotic Manipulation; Legged Locomotion; High Level Behavior Control; Planning, Execution and Learning; Navigation, Localization and Mapping; Sensor Fusion, Communication and Swarm Robotics.
The learned theoretical skills is applied to projects in the robotic laboratory, helpful for the full understanding of the concepts and for inspiring students’ own ideas and further research. The lab is equipped with many robot prototype, 20 E-TUCK Robot, 4 Pioneer3 AT Robot, 2 Neuronics Robot CATANA 6M and 1 Robertino Robot.
Master Research Unit