Degree programme
Programme Structure
Show/Search Programme
Course Details
Save Document
Degree Programme
Degree Programme not available
Quantitative data
International context
Customized Schedule
Your customized time schedule has been disabled
Search a Professor
Search a Course
Search a Course (system prior D.M. n. 509)
Search Lessons taught in English

Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
BIdentifying activities
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Academic Year 2014/2015
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (434) Engineering of Computing Systems
Track T2B - Engineering of computing systems
Programme Year 2

Course Details
ID Code 089013
Course Title ROBOTICS
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester Second Semester
Course Description Robot as a system: component parts; functional model of a robot; robot versus robotics; the operator place (telecontrol, autonomous behaviour). Mechanics: degrees of mobility and freedom; links, joints, wheels and steering; classification of mechanical structures; Cspace. Controlling movements and contacts: geometrical and physical entities; kinematics and dynamics; Cartesian and actuation space; controller using the robot model and trajectory computation; controller using external sensors; control problems in mobile robots. Programming: programming tasks in Cartesian space; simulators and virtual reality for user interface. Assigning tasks to robot: reactive and deliberative architectures; robots as physical agents and the co-ordination problem. World immersion and sensors: kind of sensors and their use as proprioceptive and eteroceptive; sensorial fusion; the role of learning. Images and vision: image acquisition and analysis; from computer vision to robot vision; vision for user interface. Maps, sensors, odometers in mobile robots: path planning; autolocation and natural landmarks.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU

Schedule, add and removeAlphabetical groupProfessorLanguageTeaching Assignment Details
From (included)To (excluded)
--AZZZZGini Giuseppina
manifesti v. 3.5.13 / 3.5.13
Area Servizi ICT