Module Title:Robotic Operating Systems
Language of Instruction:English
Credits: 5
NFQ Level:7
Module Delivered In 2 programme(s)
Teaching & Learning Strategies: This module will be delivered through a mix of lectures, laboratory assignments, and projects including a professional write-up. It will employ a mixture of active/task-based learning, reflective learning, and problem-based learning.
Module Aim: Robotic systems are implementing their control systems using the Robot Operating System (ROS) in both industry and academia. ROS supplies a development environment for modular control and communication infrastructure of robotic systems using an open-source library of control and data processing algorithms. In this course, we shall cover the development of software modules in ROS and integration into a completely functional system for autonomous robot control.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Use ROS communication tools to exchange information to create and visualise a custom robot environment.
LO2 Analyse and map an environment and navigate a mobile robot around that environment
LO3 Implement a pick-and-place function with industrial robot arms.
LO4 Design a complete robotic application with state machines within an individual or group project setting depending on the complexity.
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.

No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
OS (Linux), Programming (variables, loops, functions, conditionals), linear algebra.

Module Content & Assessment

Indicative Content
Linux operating system refresher
Linux install, ROS installation etc
Programming language refresher
Python and C/C++
Introduction to the Robot Operating System
Services, actions, nodes in ROS. Control systems in SCADA.
Unified Robot Description Format
Use Unified Robot Description Format (URDF), ROS parameter server, and simulation of real-world object representations.
Robot vision
Robot vision with object detection and pose estimation
State machines and file systems
State machines design and behaviour and the ROS file system and SCADA logs.
Map creation and navigation
Map creation and autonomous navigation of a known map e.g., GMapping
Motion Planning and Behaviour
Motion planning and pick and place behaviours using industrial robots e.g., ROS MoveIt.
Safety and Cybersecurity
Coding styles and standards for safety, security and key management, Penetration testing support.
Assessment Breakdown%
Continuous Assessment50.00%
Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation n/a 1,2,3,4 50.00 Every Week
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Project n/a 1,2,3,4 50.00 Sem 2 End
No Practical
No End of Module Formal Examination

SETU Carlow Campus reserves the right to alter the nature and timings of assessment


Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Lecture Every Week 2.00
Laboratory Every Week 3.00
Independent Learning Every Week 3.00
Total Hours 8.00

Module Delivered In

Programme Code Programme Semester Delivery
CW_EEROB_B Bachelor of Engineering (Honours) in Robotics and Automated Systems 5 Mandatory
CW_EEROO_D Bachelor of Engineering in Robotics and Automated Systems 5 Mandatory