First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
AUTOMATION ENGINEERING
Course unit
ROBOTICS, VISION AND CONTROL
INP4063809, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2016/17

Information on the course unit
Degree course Second cycle degree in
AUTOMATION ENGINEERING
IN0527, Degree course structure A.Y. 2008/09, A.Y. 2017/18
N0
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination ROBOTICS, VISION AND CONTROL
Department of reference Department of Information Engineering
Mandatory attendance No
Language of instruction English
Branch PADOVA

Lecturers
Teacher in charge RUGGERO CARLI ING-INF/04

Mutuated
Course unit code Course unit name Teacher in charge Degree course code
INP4063809 ROBOTICS, VISION AND CONTROL RUGGERO CARLI IN2371
INP4063809 ROBOTICS, VISION AND CONTROL RUGGERO CARLI IN0524
INP4063809 ROBOTICS, VISION AND CONTROL RUGGERO CARLI IN2371
INP4063809 ROBOTICS, VISION AND CONTROL RUGGERO CARLI IN2371

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/04 Automatics 9.0

Mode of delivery (when and how)
Period Second semester
Year 2nd Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
Hours of
Individual study
Shifts
Lecture 9.0 72 153.0 No turn

Calendar
Start of activities 26/02/2018
End of activities 01/06/2018

Syllabus
Prerequisites: Calculus, Physics, Linear Algebra, Automatic Control, System Theory, Estimation and Filtering
Target skills and knowledge: To apply control strategies to arm-type robots and mobile robot vehicles.
To combine control strategies with computer vision algorithms.
Examination methods: The exam is written.
Course unit contents: Mobile robots vehicles: navigation (in particular Map-Based Planning) and localization (in particular Monte-Carlo localization).
Arm-type Robots: Robot arm kinematics (inverse Kinematics and computation of trajectories), velocity relationships, dynamics and control.
Computer-vision: light and color, Image formation, Image processing, Image feature extraction, Analysis of multiple Images.
Robotics, Vision and Control: Vision-based control, advanced visual servoing.
Planned learning activities and teaching methods: Frontal lessons. Simulation activity with Matlab and Simulink.
Textbooks (and optional supplementary readings)
  • Peter Corke, Robotics, Vision and Control. --: Springer, 2011. Cerca nel catalogo
  • Bruno Siciliano, Lorenzo Sciavicco, Luigi Villani, Giuseppe Oriolo, Robotics. Modelling, Planning and Control. --: Springer, 2009.