Research Groups
Staff are often involved in more than one of the research groups and there are also major research centre activities which operate within the group research areas.
Our research activities are organised within three major groups:
Complex Systems, Signal Processing and Control Research Group
The Complex Systems, Signal Processing and Control research group is internationally leading in the development of techniques and algorithms for complex systems analysis, control and signal processing and the application of these in emerging areas of science and engineering.
It expanded its activities with three additional staff, increased Research Student numbers and two externally-funded Research Centres (Centre for Signal Processing in Neuroimaging and Systems Neuroscience and the Centre for Signal Processing and Complex Systems).
Visit the Complex Systems, Signal Processing and Control Research Group web page
Intelligent Systems and Control Research Group
The Intelligent Systems and Control research group makes a global impact on advances in the theory, algorithms and applications of (i) computational intelligence for modelling, optimization and decision support, and (ii) active (predictive, learning and repetitive) control.
It expanded its capability (three additional staff and increasing Research Student population) and industrial involvement (Innovative Metals Processing Centre IMP-C).
Visit the Intelligent Systems and Control Research Group web page
Autonomous and Robotic Systems Research Group
This research group carries out world leading research in autonomous and robotic systems by investigating key research problems of sensing, control, decision making and system integration. The group makes fundamental contributions to the activities of the Sheffield Centre for Robotic Research (SCentRo).
The collective competence of the group is unparalleled in the UK and covers most essential topics of this area: design of autonomous industrial robots, condition monitoring for fault tolerant autonomous systems, biologically inspired principles of sensing and control, international standards for autonomous robots, self-assembling robotic systems and swarms, advanced software architectures for decision making, autonomous hybrid systems modelling, formal verification and distributed and parallel control systems.