The course provides the know-how to design and engineering a robotic system. The study is concentrated on the systemic dimension of the design, i.e., on some of the main building blocks of a robot, their interconnection and control. This organization allows to provide the big picture of a robot system, while providing insights on some aspects that are considered of particular interest.
Course Prerequisites
Basic concepts of computer science and dynamical systems are required.
Teaching Methods
Teaching is organized in lectures held by the teacher on the various topics of the course. The interaction with the students is stimulated by questions and evaluations on the observations raised by the students.
Lectures (hours/year in lecture theatre): 45 Practical class (hours/year in lecture theatre): 0 Practicals / Workshops (hours/year in lecture theatre): 0
Assessment Methods
The exam is based on a single written test regarding the topics covered in the course. There are no tests during the course or oral tests.
Self-assessment tests on the topics covered in the course are available on the Kirotesting platform.
Texts
The study material consists mostly of slides available on the course website. For further details of the various topics covered, you can consult the following texts:
[1] John Brignell, Neil White. Intelligent Sensor System. Institute of Physics Publishing, Bristol and Philadelphia.
[2] Paulo Verissimo, Luis Rodriguez. Distributed Systems for System Architects. Kluwer Academis Publishers.
[3] Giorgio C. Buttazzo. Hard Real-time Computing System. Springer.
[4] Howie Choset, Kevin M. Lynch, Seth Hutchinson, George Kantor, Wolfram Burgard, Lydia E. Kavraki, Sebastian Thrun. Principles of Robot Motion: Theory, Algorithms, and Implementations. The MIT Press.
Contents
The program includes the study of the characteristics of the most widely used sensors in robotic applications, including: linear and angular position sensors, pressure sensors, accelerometers, force sensors, thermal sensors, image sensors (cameras), and "time sensors". We will study some techniques for the use of sensors and their main application fields will be shown. Techniques and issues in real-time acquisition of sensory data will be explored. Moreover, the subject of Finite State Machines will be introduced as a useful tool for implementing robotic control and coordination algorithms. Finally, we will describe some basic techniques of robot navigation, which make use of different sensors among those presented.
Course Language
English
More information
Updated information can be found at the page dedicated to the course on the homepage of Prof. Facchinetti.
