Robotics and autonomous systems (RAS) are set to shape innovation in the 21st Century, underpinning research in a wide range of challenging areas: the ageing population, efficient health care, safer transport, and secure energy. The UCL edge in scientific excellence, industrial collaboration and cross'sector activities make it ideally placed to drive information technology robotics and automation education in the UK. Teaching is delivered by lectures, tutorials, practical sessions, projects and seminars.
Core modules: Robotic control theory and systems; robotic sensing, manipulation and interaction; robotic systems engineering; robotic vision and navigation. Options: Acquisition and processing of 3'dimensional geometry; affective computing and human'robot interaction; artificial intelligence and neural computing; image processing; inverse problems in imaging; machine vision; mathematical methods, algorithmics and iImplementations; probabilistic and unsupervised learning; research methods and reading; supervised learning.
Course Additional Entry
A minimum of an upper 2nd Class Honours degree from a UK university or an overseas qualification of an equivalent standard in a highly quantitative subject such as computer science, mathematics, electrical or electronic engineering, or the physical sciences. Students should also have some experience with a programming language such as C/C++, Java, Python or Matlab. Appropriate industrial experience may also be considered.
|Duration & Attendance||Qualification||Tuition fees||Fee type|