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Libera Università di Bolzano

Industrial Collaborative Robotics

Semestre 1 · 47584 · Corso di laurea magistrale in Ingegneria Industriale Meccanica · 6CFU · EN


The course aims at providing concepts and skills in the industrial collaborative robotics domain.
Students will learn: (i) fundamental and advanced concepts of industrial Human-Robot Interaction (HRI); (ii) fundamental and advanced concepts of safety of machinery and risk assessment for industrial traditional and collaborative robots; (iii) fundamental concepts of ergonomics in advanced human-robot interaction; (iv) fundamental and advanced concepts of robot kinematics useful in collaborative applications.
Then, they will acquire fundamental knowledge and competences on how to program and operate industrial collaborative robots.

Docenti: Luca Gualtieri

Ore didattica frontale: 28
Ore di laboratorio: 28
Obbligo di frequenza: Not mandatory

Argomenti dell'insegnamento
Main topics for the module "Safety and ergonomics in industrial human-robot interaction": • Fundamentals of industrial Human Robot Interaction (iHRI) • Risk assessment for collaborative applications • Safety measures for industrial HRI • Human factors and ergonomics in advanced iHRI Main topics for the module "Collaborative robotics applications in Industry": • Safety standards and their application/implementation. • Sensors for obstacle/human tracking and for validation/certification of industrial collaborative applications. • Human and skeleton tracking. • Redundant robots and redundancy exploitation in collaborative applications. • (Collaborative) Robot programming – basic and advanced - and motion planning. • Examples of applications and implementation of collaborative tasks.

Modalità di insegnamento
Frontal lectures and seminars held by guest researchers and experts; Exercises/Smart Mini Factory lab activities/case study elaboration.

Obiettivi formativi
Knowledge and understanding Students should acquire the knowledge and the understanding of: Applying knowledge and understanding Making judgements Communication skills Ability to learn

Modalità d'esame
Formative Assessment: • Exercises in the lecture room (After each unit lecture); • Group work and lab hands-on activities (During the ex/lab hours). Summative Assessment: • Written exam with questions on the theory (1h): 50% of final grade; • Project work encompassing case study and subsequent presentation of the work: 50% of final grade.

Criteri di valutazione
Final evaluation by a single final grade. The final grade is calculated 50% from the results of the written exam and 50% from the results of the project work. Criteria for the evaluation of the written examination are: • completeness and correctness of the answers. Criteria for the evaluation of the project work / case study are: • accuracy and completeness as well as creativity and innovation of the proposed solution and quality of presentation.

Bibliografia obbligatoria

Lecture notes and docs for the exercises/lab sessions will be made available on the online platforms




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Obiettivi di sviluppo sostenibile
Questa attività didattica contribuisce al raggiungimento dei seguenti Obiettivi di Sviluppo sostenibile.

8 10

Modules

Semestre 1 · 47584A · Corso di laurea magistrale in Ingegneria Industriale Meccanica · 3CFU · EN

Module A — Safety and Ergonomics in industrial human-robot interaction

The course aims at providing concepts and skills in the industrial collaborative robotics domain.
Students will learn: (i) fundamental and advanced concepts of industrial Human-Robot Interaction (HRI); (ii) fundamental and advanced concepts of safety of machinery and risk assessment for industrial traditional and collaborative robots; (iii) fundamental concepts of ergonomics in advanced human-robot interaction; (iv) fundamental and advanced concepts of robot kinematics useful in collaborative applications.
Then, they will acquire fundamental knowledge and competences on how to program and operate industrial collaborative robots.

Docenti: Luca Gualtieri

Ore didattica frontale: 16
Ore di laboratorio: 12

Argomenti dell'insegnamento
INTRODUCTION TO INDUSTRIAL ADVANCED HRI - Fundamentals of industrial human-robot interaction; - Applications; - Mechanical risk in iHRI; - Technology analisys; - Case studies and examples; SAFETY OF MACHINERY AND RISK ASSESSMENT - Basics of Occupational Health and Safety; - The Machinery Directive and the EHSRs; - Risk assessment for machinery; - Safety by design; - Case studies and examples; SAFETY IN INDUSTRIAL HRI - BASICS - Safety of collaborative robotics applications; - Standards and deliverables for safety in iHRI; - Safety modalities in iHRI according to ISO TS 15066; - The new Machinery Regulation; SAFETY IN INDUSTRIAL HRI - ADVANCED - Modeling human-robot contacts; - Power and Force Limiting; - Design of safe end-effectors; - Measures for risk prevention and mitigation in collaborative applications; Laboratory: - Comparing risk assessment for traditional and collaborative robotics application by using the ISO TR 14121 methodology; - Human-robot contact analysis and computation of Power and Force Limiting parameters; - Design of safe collaborative applications;

Modalità di insegnamento
Frontal lectures, exercises and case study discussion.

Bibliografia obbligatoria

Lecture notes and docs for the ex/lab sessions will be made available on the online platforms



Semestre 1 · 47584B · Corso di laurea magistrale in Ingegneria Industriale Meccanica · 3CFU · EN

Module B — Collaborative Robotics Applications in Industry

The course aims at providing concepts and skills in the industrial collaborative robotics domain.
Students will learn: (i) fundamental and advanced concepts of industrial Human-Robot Interaction (HRI); (ii) fundamental and advanced concepts of safety of machinery and risk assessment for industrial traditional and collaborative robots; (iii) fundamental concepts of ergonomics in advanced human-robot interaction; (iv) fundamental and advanced concepts of robot kinematics useful in collaborative applications.
Then, they will acquire fundamental knowledge and competences on how to program and operate industrial collaborative robots.

Docenti: Renato Vidoni, Rabert Rajesh Mallavarapu

Ore didattica frontale: 12
Ore di laboratorio: 16

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