41118 Artificial Intelligence in Robotics

Description

Intelligent robots are a disruptive technology, poised to transform business and society. However, developing intelligent robot behaviours is different to traditional business applications. Intelligent robots are real-time distributed systems that must make complex real-time decisions autonomously, using data collected from a wide range of sources such as sensors and the internet. To deal with this complexity, professionals must not only make sense of complexity, context and social norms in real-world scenarios, but translate such insights to algorithms suitable for autonomous use by a robot.

This subject helps students to understand and use concepts, theory, and algorithms of Artificial Intelligence (AI) related to robotics and general mechatronic systems. This includes areas such as data-driven perception systems, supervised, unsupervised, reinforcement, and deep learning for sensing and decision making, applied to intelligent robots. Through a series of workshops and hands-on tutorials, the students develop an appreciation for the complexity, technical challenges, and ethical issues associated with data-driven intelligent systems. They gain an ability to recognise and select state-of-the-art algorithms, methodologies, techniques, experimental tools and evaluation methods.

Typical availability

Autumn session, City campus