The three specialisations of the MSc Robotics programme are founded on core aspects of the definition of a robot
Robot = "A mechanism that moves in an environment, with at least some autonomy and some interaction".
Mechatronics and Physical AI (MPAI)
This specialisation focuses on how robots act in the physical world.
Mechatronics integrates mechanics, electronics, control, and computing to design systems that move with precision and reliability. Physical AI complements this by exploring intelligence that emerges from a robot’s physical design, systems that “think”. Students in this track develop strong skills in hardware design, dynamic modelling, embedded control, sensing, and intelligent mechanical systems. The compulsory courses for the specialisation Mechatronics and Physical AI are listed below:
Quartile | Course Code | Course Name |
1A | System Engineering | |
1A | Modelling, Dynamics, and Kinematics | |
1B | Control System Design for Robotics | |
2A | Design Principles for Robotic and Mechatronic Mechanisms | |
2A | Software Development for Robotics | |
2B | System Identification with Parameter Estimation and Machine Learning |
Algorithms and Software AI (ASAI)
This specialisation is all about robot autonomy.
Here, the emphasis is on the software “brain” of a robot: perception, cognition, planning, and navigation. You will learn how robots interpret sensor data, understand their environment, make decisions, and move safely and efficiently.
Courses cover machine learning, computer vision, sensor fusion, motion planning, and advanced algorithmic techniques that enable robots to operate independently and intelligently. The compulsory courses for the specialisation Algorithms and Software AI are listed below:
Quartile | Course Code | Course Name |
1A | System Engineering | |
1A | Image Processing and Computer Vision | |
1B | Robotic Perception, Cognition, and Navigation | |
2A | Optimal Estimation in Dynamic Systems | |
2A | Advanced Software Development for Robotics | |
2B | AI for Autonomous Robots: Deep Learning and Reinforcement Learning |
Human-Robot Interaction and Social AI (HRISAI)
This specialisation focuses on how robots interact with people.
The field of Human-Robot Interaction investigates how robots communicate, collaborate, and behave in ways that feel natural, safe, and socially aware. Social AI brings together human and machine intelligence to enable robots that can understand context, respond socially, and build effective partnerships with users. Students explore interaction design, social behaviour modelling, user experience, cognitive systems, and the psychology of human–robot teamwork. The compulsory courses for the specialisation Human-Robot Interaction and Social AI are listed below: