- UCAS course code
- HHP3
- UCAS institution code
- M20
MEng Mechatronic Engineering with Industrial Experience
Year of entry: 2024
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Course unit details:
Software for Robotics
Unit code | EEEN42041 |
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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 |
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Report | 50% |
Practical skills assessment | 50% |
Feedback methods
.
Study hours
Scheduled activity hours | |
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Lectures | 33 |
Tutorials | 9 |
Independent study hours | |
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Independent study | 108 |
Teaching staff
Staff member | Role |
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Murilo Marinho | Unit coordinator |
Pawel Ladosz | Unit coordinator |