Robotics and Control

Analysis, design, and optimisation of self-regulating and robotic systems, delivering faster, safer, and more cost-effective operations for industry.

A robot arm

About us

Our fundamental research into robotics and control is driven by its relevance to real-world problems, with projects across smart manufacturing, biomedical technologies, nuclear decommissioning, environmental monitoring and characterization, remote surgery, space assembly, agriculture, and smart grid. We are developing the next-generation vision and supervisory control systems for ground-based, underwater, and aerial robots that operate in complex, unstructured environments, with an emphasis on autonomy, uncertainty, and robustness.

Algorithms and software

We apply and develop novel algorithms for control system design, system identification, statistical modelling, and digital twin. Strengths include our research into data-based mechanistic models, AI-based telerobotics, cooperative control and navigation of mobile robots, and nonlinear adaptive control for hydraulic manipulators and UAVs. Our MATLAB-based CAPTAIN Toolbox for time series analysis and forecasting, used by industry and national agencies globally, has facilitated both expert and less experienced modellers in the analysis of data sets across a wide range of scientific disciplines.

Group Lead

Professor James Taylor

Professor of Control Engineering

Doctorate Centre in Nuclear Engineering, DSI - Foundations, Energy Lancaster, Lancaster Intelligent, Robotic and Autonomous Systems Centre, LIRA - Environmental Modelling, LIRA - Extreme Environments, LIRA - Fundamentals, Nuclear

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Professor James Taylor