MEng Mechatronic Engineering with Industrial Experience

Year of entry: 2024

Course unit details:
Software for Robotics

Course unit fact file
Unit code EEEN42041
Credit rating 15
Unit level Level 4
Teaching period(s) Semester 1
Available as a free choice unit? No

Overview

Software is a fundamental element of robotic systems, both for embedded control and simulation. Students will use the Linux OS, which is widely used in the robotics community and programme in Python. Employing appropriate robotic middleware, they will produce custom code whilst following good software development practices. They will construct simulation environments allowing visualisation of robotic systems and hardware-in-the-loop integration and develop and implement a navigation stack for a robot within it. Key considerations such as cybersecurity will also be explored.

Topics covered:

  • Introduction and installation
  • Python best practices 
  • ROS2 packages, nodes, and libraries
  • ROS2 Messages, Parameters, and Launch files. 
  • ROS2 services and actions
  • URDF & Describing Robots
  • Gazebo & Simulations
  • Navigation & Planning Pt. 1
  • Create a ROS2 package with a map (.pgm and .yaml files) for a Gazebo simulation environment.
  • Navigation & Planning Pt. 2
  • Create a ROS2 package which contains a suitable launch file and .yaml configuration files to run a semi-autonomous navigation of a simulated mobile robot using Nav2.
  • Behaviour Trees

Aims

Introduce students to the key software technologies used within the robotics community. Students will make use of the Linux OS and programme in Python as they develop software engineering skills employing widely used middleware for robotic systems in a range of simulation environments.

Learning outcomes

On successful completion of the course, a student will be able to:

ILO 1: Use the Linux operating system and programme in Python.

ILO 2: Demonstrate good software engineering practices in the development of code, including the use of version control and testing methodologies.

ILO 3: Employ appropriate middleware for robotic systems and produce custom code to integrate into it.

ILO 4: Construct simulation environments allowing visualisation of robotic systems and hardware-in-the-loop integration.

ILO 5: Design and implement a navigation stack for a robotic system and evaluate its performance in simulation.

ILO 6: Discuss the challenges of cybersecurity within software for robotic systems.

Assessment methods

Method Weight
Report 50%
Practical skills assessment 50%

Feedback methods

.

Study hours

Scheduled activity hours
Lectures 33
Tutorials 9
Independent study hours
Independent study 108

Teaching staff

Staff member Role
Murilo Marinho Unit coordinator
Pawel Ladosz Unit coordinator

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