With this function you can construct your weekly calendar of lessons, which is customized on the basis of the courses that you intend to follow. Warning: the personal schedule does not replace the presentation of the study plan! It's an informal tool that can help you better manage the organization of class attendance before the study plan presentation. After the study plan presentation we recommend you to use the Lecture timetable service in your Online Services.
To create your customized schedule follow these instructions:
Click on the "Enable" link to proceed. You will be asked your surname and first name in order to determine your alphabetic grouping.
To add or remove courses from your personal schedule, use the small icons which are found next to the courses:
addition of the course
removal of the course
selection of the section of the Laboratory of Architecture (Note: the effective area in which the teaching will be carried out will be determined after the presentation of the Study Plans)
The sidebar on the left displays the number of lessons included in schedule. There are also these commands:
View the schedule: allows the viewing of the weekly synoptic schedule
Delete the schedule: cancels the selections made
When you have finished the entry, you can print the calendar you have made.
Similar or integrative activities
Course completely offered in italian
Course completely offered in english
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)
School of Industrial and Information Engineering
(Master of Science degree)(ord. 270) - MI (434) Engineering of Computing Systems
T2A - Sistemi e applicazioni dell'Informatica
CONTROL OF INDUSTRIAL ROBOTS
Credits (CFU / ECTS)
This course will present current and advanced methodologies for the control of robotic manipulators. After the review of some basic elements, and the presentation of a few advanced topics, in robot kinematics, the dynamic model of the manipulator will be discussed, along with its main properties. The control of the manipulator will be addressed both in terms of motion planning and in terms of feedback control. Path and trajectory planning in joint space and in Cartesian space will be presented, together with advanced topics such as kinematic and dynamic scaling of trajectories and obstacle avoidance. Concerning the feedback control, independent joint control techniques will be first discussed, with emphasis on the role of the flexibility in the joints, then advanced model-based centralized controllers will be studied. The final part of the course will be devoted to the control of robots with external sensors, including both force sensors to control the physical interaction with the environment and vision sensors to model the environment and achieve visual servoing of the manipulator.