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Robotic Systems and CIM

Objectives

To provide students with:

1) Knowledge on:  a) Modeling of robotic cells in the perspective of agile manufacturing systems. b) Key organizational principles of manufacturing systems. c) Capability to deal with complex problems.
2) Know-how on: a) Formulating new problems and implementation strategies for robotic cells. b) Development of synthesis and critical analysis skills. c) Improving the capability of implementing heterogeneous robotic systems. d) Capability of selecting tools.
3) Non-technical competences: a) Team-work and improvement of the oral and written communication skills. b) Develop the innovation capabilities.

General characterization

Code

2363

Credits

6.0

Responsible teacher

José António Barata de Oliveira, Luís Manuel Camarinha de Matos

Hours

Weekly - 4

Total - 56

Teaching language

Português

Prerequisites

Programming skills.

Bibliography

1 – Robotic systems and CIM – Course handouts.
2 - Introduction to Multiagents: Michael Wooldridge, Wiley.

Teaching method

Available soon

Evaluation method

The assessment has a theoretical and practical component.

The weight of the Theoretical is 40% and that of the Practical 60%.

The practical component is carried out through 3 practical assignments and discussion.
In the practical component, a minimum grade of 9.5 is required.

The theoretical component does not have a minimum grade.

ATTENTION: The practical component is mandatory.

Subject matter

  1. Fundamental Concepts of Manufacturing
    1. The World of Manufacturing
    2. Historical Vision
    3. Current challenges
  2. Manufacturing Systems Paradigms
    1. Highly reconfigurable systems
      1. RMS
      2. Holonic Manufacturing
      3. Cyber-Physical Production Systems
      4. Industry 4.0
    2.  Emerging Paradigms
      1. Complexity Theory
      2. Self-organization
      3. Self-x
  3. Modelling
    1. SysML, ISA-95, Automation-ML
    2. Ontologies
  4. Analysis Dimension
    1. Control Perspective
      1. Cyber-Physical Systems / IIOT
      2. SOA based Manufacturing
      3. Agent based Manufacturing
      4. RAMI 4.0
    2. Information Treatment and Learning Perspective
      1. Sensors and Data Volume
      2. Contextualized Perception
      3. Learning
      4. Applications in Industry