Robotics and Artificial intelligence BEng

University of Hertfordshire

The courses provide experience in the design and development of robotics systems, from the initial hardware design and development, to writing and implementing advanced AI software to enable robots to accomplish tasks in the real world.

This new award in Robotics and Artificial Intelligence builds on existing research and teaching expertise in the School of Engineering and Computer Science and addresses a growing demand by government and employers for graduates with this range of knowledge and skills. The award is structured with a strong emphasis on practical work to build your skills and confidence in the usage and application of contemporary Robotics and AI technologies. You will learn the elements needed to build robots, from simple electronic circuitry, software engineering and control, to high-level robot intelligence and will learn how to develop robotic systems and bring the learning to life.

The course content includes a number of practical Project based modules, during every year of study, along with necessary input from the other modules studied at each level. For example, during year one, you will design, build and program your own small mobile robot, which will be supported by modules including Introduction to Robotics, Principles of Digital Electronics and Computing, Programming, Maths for AI and Professional Engineering. For year two, you will deepen your theoretical knowledge, studying modules such as Mechatronics, Robot Sensors and Signal Processing, AI, Behavioural Robotics, Robotic Operating Systems, Embedded Systems Design and applying this in the year two project modules. This approach continues into year 3 (and 4 for the MEng award), with deeper studies in Machine Learning, 3D Computer Vision, Visual and Spoken interfaces, Robot Communication, Industrial Robotics, Mobile Robots and Drones, Robot Systems Design, Robot Product Design, AI Theory and Application, Human-Robot Interaction, etc. deepening your theoretical understanding, and gaining experience of applying this in practical robotics and AI systems.