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Industrial Collaborative Robotics

Semester 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.

Dozenc: Luca Gualtieri

Ores de ensegnament: 28
Ores de laboratore: 28
Oblianza de frecuenza: Not mandatory

Argomenc dl curs
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.

Modalité de ensegnament
Frontal lectures and seminars held by guest researchers and experts; Exercises/Smart Mini Factory lab activities/case study elaboration.

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

Sort de ejam
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.

Criters de valutazion
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 obligatora

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




Obietifs per n svilup sostenibel
Chesta ativité didatica deida da arjunje chisc obietifs per n svilup sostenibel



Modules

Semester 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.

Dozenc: Luca Gualtieri

Ores de ensegnament: 16
Ores de laboratore: 12

Argomenc dl curs
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;

Modalité de ensegnament
Frontal lectures, exercises and case study discussion.

Bibliografia obligatora

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



Semester 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.

Dozenc: Renato Vidoni, Rabert Rajesh Mallavarapu

Ores de ensegnament: 12
Ores de laboratore: 16

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