Robotics: Introduction to robotics; Design, Components and Programming of a robotic system (e.g. mechanical arm, controller, electrical drive, hydraulic drive, etc.);
Modelling of kinematics and dynamics; Sensing, control and human-robot interaction technologies; Design and build of a small robot for a particular application (e.g. space/aerospace, automotive, driveless cars, renewable energy, healthcare, agriculture, mining, etc.);
AI and ML: Introduction to Artificial Intelligence (AI) and Machine Learning (ML); applications of AI in robotics;unsupervised, supervised and reinforcement learning;ML in robot path planning, navigation, positioning, and obstacle avoidance.
Contact hours 34
Private study hours 116
Total study hours: 150
Method of assessment
Exam, 2 hours (40%)
Presentation, 15 minutes (20%)
Project report, 4000 words (40%)
- Handbook of Robotics – Bruno Siciliano and Oussama Khatib, Springer, 2016.
- Robotic Systems and Autonomous Platforms: Advances in Materials and Manufacturing – Shawn M. Walsh, Michael S. Strano, Elsevier, 2019.
- Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques – Francis X. Govers, Packt Publishing, 2018.
On successfully completing the module students will have knowledge and understanding of:
1. the theory and implementation of robotics, for both physical and simulated robots;
2. the basic theoretical tools to describe kinematics and dynamics for robot systems with several degrees of freedom;
3. the software/hardware integration in robot architectures for advanced tasks and industrial applications;
4. the adoption of artificial intelligence (AI) and machine learning (ML) algorithms in robotic systems
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Credit level 6. Higher level module usually taken in Stage 3 of an undergraduate degree.
- ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
- The named convenor is the convenor for the current academic session.
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