TRAINING COURSE IN COLLABORATIVE ROBOTICS

(Developed in the framework of INCOBOTICS 5.0 Erasmus+ project)


The Training course comprises of 3 ready to use, tested and validated units of learning in collaborative robotics:

  1. Introduction to Collaborative Robotics in Industry
    • A visual introduction to the incipient Industry 5.0 scenario
    • An introduction to the main brands and types of COBOTS, specific characteristics and uses
  2. Programming COBOTS
    • Movements, routines, managing I/O (inputs and outputs), palletization, manipulating tools
    • Programming tasks to cover the main Industrial functions: selection, inspection, sorting, manipulations, etc
  3. Artificial Vision Systems
    • Introduction to main AV systems
    • Safety parameters (programmable in accordance with CO-BOT function and task): sensorial capacities
    •  Data collection: monitoring and analysis
    • Programming Artificial Vision


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All rights reserved
Erasmus+ project: INCOBOTICS - Ready for Industry 5.0
Agreement number: 2019-1-ES01-KA203-065796
For more information please visit https://incobotics.eu/


The European Commission's support for the production of this publication does not constitute an endorsement of the contents which reflects the views only of the authors and the Commission cannot be held responsible for any use which may be made of the information contained therein.



Training Modules


  • Module 1. Introduction to Collaborative Robotics in Industry
  • Module 2. Programming COBOTS
  • Module 3. Artificial Vision Systems
Learning outcomes

After attending the INCOBOTICS Module, students will be able to:

  • Understand Industry 5.0
  • Comprehend the CO-BOTS major brands available on the market
  • Understand the main functionalities of a CO-BOT
  • Programme a CO-BOT
  • Understand the capacities and range of Artificial Vision
  • Programme Artificial Vision

Módulos de formación


  • Módulo 1. Introduction to Collaborative Robotics in Industry
  • Módulo 2. Programming COBOTS
  • Módulo 3. Artificial Vision Systems
Resultados del aprendizaje

Después de asistir al módulo de INCOBOTICS, el alumnado podrá:

  • Entender la industria 5.0
  • Comprender los CO-BOTS de las principales marcas disponibles en el mercado
  • Comprender las principales funcionalidades de un CO-BOT
  • Programar un CO-BOT
  • Comprender las capacidades y el alcance de la Visión Artificial
  • Programar la Visión Artificial

Moduli di formazione


  • Modulo 1. Introduction to Collaborative Robotics in Industry
  • Modulo 2. Programming COBOTS
  • Modulo 3. Artificial Vision Systems
Unità di apprendimento

Dopo aver frequentato il Modulo didattico INCOBOTICS, gli utenti saranno in grado di:

  • Comprendere i paradigmi dell'Industria 5.0
  • Distinguere i principali brand di CO-BOT disponibili sul mercato
  • Comprendere le principali funzionalità di un CO-BOT
  • Programmare un CO-BOT
  • Comprendere le funzionalità della visione artificiale
  • Programmare sistemi di Visione artificiale

Modules de formation


  • Module 1. Introduction to Collaborative Robotics in Industry
  • Module 2. Programming COBOTS
  • Module 3. Artificial Vision Systems
Objectifs d’apprentissage

Après avoir participé au module INCOBOTICS, les étudiants seront capables de:

  • Comprendre l’industrie 5.0
  • Connaîttre les grandes marques de CO-BOTS disponibles sur le marché
  • Comprendre les principales fonctionnalités d’un CO-BOT
  • Programmer un CO-BOT
  • Comprendre les capacités et la gamme de Vision Artificielle
  • Programmer la Vision Artificielle

Εκπαιδευτικές ενότητες


  • Ενότητα 1. Εισαγωγή στη Συνεργατική Ρομποτική στην βιομηχανία
  • Ενότητα 2. Προγραμματίζοντας COBOTS (συνεργατικά ρομπότ)
  • Ενότητα 3. Συστήματα Τεχνητής Όρασης
Μαθησιακά αποτελέσματα

Μετά την παρακολούθηση της ενότητας, οι συμμετέχοντες θα:

  • Κατανοούν την έννοια της Βιομηχανίας 5.0
  • Γνωρίζουν τις μεγάλες μάρκες CO-BOTS που διατίθενται στην αγορά
  • Καταννοούν τις κύριες λειτουργίες ενός CO-BOT
  • Μπορούν να προγραμματίσουν ένα CO-BOT
  • Κατανοούν τις δυνατότητες και το εύρος της Τεχνητής Όρασης
  • Μπορούν να αναπτύξουν ένα απλό πρόγραμμα που κάνει χρήση της Τεχνητής Όρασης