Robotics applied to furniture production at the different production stages

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This course aims to provide basic knowledge and methodology for the design and implementation of service robotics solutions based on the integration of mobile robotic platforms, Internet of Things and Cloud computing. These Key Enabling Technologies could be applied to furniture production at the different production stages. The objective is to show an overview of innovative concepts of robotics related to Industry 4.0 which shall be accessible to the specialist in the wood-manufactory field, regardless of their educational background.

About the author

SSSA-BIOROBOTICS

SSSA-BIOROBOTICS

University

The BioRobotics Institute of Sant'Anna School of Advanced Studies Description

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This course is part of Specialization Digital and Physical World Hybridising

Score and Badges

2650 points

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Knowledge

- Characteristics of service robots and limitation of industrial ones.
- Requirements to be addressed to program and develop service robots.
- Concepts, properties and characteristics of Internet of Things.
- Benefits and aim of Cloud Robotics.
- Examples, advantages and applications of Artificial Intelligence.


Skills

- Knowing what types of software are needed to analyze the movement of the robot.
- Recognizing what tools to be used to enhance the capability of collaborative robots.
- Identifying the tools that can be used to help the deployment of collaborative robots in industrial application.
- Identifying the different uses of collaborative robotics in industry.


Competences

- Analyze the issues to be considered in a collaborative robots application.
- Define and implement the steps for Human Activity Recognition tasks.
- Identify the necessary architecture for ZigBee applications.
- Analyze which application to be put in Cloud and which one on local pc.

Course Content

  • 1# Introduction
    • 1.1 Introduction to Robotics
  • 2# Definitions and Concepts
    • 2.1 From Industrial robotics to collaborative robotics
    • 2.2 Service Robotics Part I
    • 2.3 Service Robotics Part II
    • 2.4 Internet of Things (IoT) - Introduction and Definition
    • 2.5 Internet of Things (IoT) - Main Concepts and Architecture characteristics
    • 2.6 Internet of Things (IoT) - Key Enabling Technologies
    • 2.7 Internet of Things (IoT) - Application Areas
    • 2.8 Cloud Robotics Definition
    • 2.9 Cloud Robotics Application
    • 2.10 Social and Collaborative Robotics Part I
    • 2.11 Social and Collaborative Robotics Part II
    • 2.12 Social and Collaborative Robotics Part III
    • 2.13 Social and Collaborative Robotics Part IV
    • 2.14 Social and Collaborative Robotics Part V
    • 2.15 Social and Collaborative Robotics Part VI
    • 2.16 Artificial Intelligence (AI)
    • 2.17 Human Activity Recognition (HAR) I
    • 2.18 Human Activity Recognition (HAR) II
  • 3# Practical exercises
    • 3.1 Introduction to operating system and standard architecture
    • 3.2 ROS - Gazebo
    • 3.3 ROS - Localization and mapping
    • 3.4 ROS – Navigation
    • 3.5 ROS – Rviz
    • 3.6 ROS - Ros-bridge Web interface
    • 3.7 Embedded system IoT Part I
    • 3.8 Embedded system IoT Part II
    • 3.9 Embedded system IoT Part III
    • 3.10 Embedded system IoT Part IV
    • 3.11 Embedded system IoT Part V
    • 3.12 Cloud Platforms Part I
    • 3.13 Cloud Platforms Part II
    • 3.14 Conclusion

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