ROBOTICS AND INDUSTRIAL AUTOMATION

Teaching in italian
ROBOTICS AND INDUSTRIAL AUTOMATION
Teaching
ROBOTICS AND INDUSTRIAL AUTOMATION
Subject area
ING-INF/04
Reference degree course
COMPUTER ENGINEERING
Course type
Master's Degree
Credits
9.0
Teaching hours
Frontal Hours: 81.0
Academic year
2021/2022
Year taught
2022/2023
Course year
2
Language
ENGLISH
Curriculum
AUTOMATION FOR INDUSTRIAL & HEALTH-CARE APPLICATIONS
Reference professors for teaching
DE PALMA DANIELA
MASCIULLO Antonio
Location
Lecce

Teaching description

Sufficiency in calculus, mechanics, control theory and linear algebra

This course offers a broad overview of fundamental topics in the area of robotics, mobile robotics and industrial automation systems. It is aimed at providing principles and tools to state and solve the design problems for industrial robots and mobile devices, and the solution is numerically sought with the aid of suitable softwares (Matlab and/or ROS, etc.).

Ability to apply knowledge and understanding) Describe and explain the main peculiarities (both advantages and disadvantages) of each facet of the design of a robotic, mobile robotic and industrial automation systems. (Ability to apply knowledge and understanding) + (Communication skills) + (Autonomy of judgment) Be aware, describe and explain the practical problems of controlling complex systems and how to overcome these drawbacks using modern approaches. (Ability to apply knowledge and understanding) + (Learning ability) + (Autonomy of judgment) Starting from a practical problem, the student must be able to formalize an adequate theoretical formulation, and also should be able to build a framework of simulation to find a computer solution of the mathematical problem with the use of a suitable software. (Communication skills) + (Learning skills) Students can develop a project on an application of interest in which to apply the methodologies developed along the course.

Lectures and exercises including numerical simulation sessions.

Final assessment consists in a written exam and an oral discussion on the main topics of the course. The written exam is based on theory questions, exercises, and coding problems. In case some practical work has been assigned during the course, it will be verified during the exam. In both the oral or written exam, the students will be asked to define the kinematic model of simple robotic mechanism, and to show proper knowledge of dynamic and control elements for robotics and industrial automation systems

Introduction to Robotics: Robot Mechanical Structures, Robot Manipulators, Mobile Robots, Industrial robotics, Advanced Robotics, Field Robots, Service Robots, Robot Modelling, Planning and Control. Kinematics. Euler Angles. Denavit–Hartenberg Convention. Kinematics of Typical Manipulator Structures. The Inverse Kinematics Problem. Dierential Kinematics and Statics. Geometric Jacobian. Kinematic Singularities. Analysis of Redundancy. Statics. Kineto-Statics Duality. Trajectory Planning. Joint Space Trajectories. Dynamics. Motion Control. Mobile Robots: Nonholonomic Constraints, Kinematic Model, Planning, Motion Control. Laboratory activities on the control of robots. Architecture for Computer-Integrated Manufacturing, Hardware architecture for adaptive control system, real-time systems, PLC - Hardware and Software architecture, PLC Programming Languages, PLC laboratory for industrial automation with examples and exercises.

1) Siciliano, B., Sciavicco, L., Villani, L. and Oriolo, G., Robotics Modelling, Planning and Control, Springer 2009, ISBN 978-1-84628-641-4

2) Siciliano & Khatib eds., Handbook of Robotics, Springer, New York, 2008

Semester
First Semester (dal 19/09/2022 al 16/12/2022)

Exam type
Compulsory

Type of assessment
Oral - Final grade

Course timetable
https://easyroom.unisalento.it/Orario

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