Sensing Technologies and Control Systems refer to the combined use of sensors and automated control mechanisms to monitor, regulate, and optimise the performance of various systems.  

The integration of sensing and control enables systems to operate with greater efficiency, accuracy, and safety. For example, in manufacturing, sensors monitor machine performance while control systems make continuous adjustments to ensure quality and reduce waste. In robotics, sensors provide environmental awareness, while control algorithms determine how the robot responds.

This field draws on disciplines such as electronics, computer science, and mechanical engineering. With advances in artificial intelligence and the Internet of Things (IoT), sensing technologies and control systems are becoming increasingly intelligent and interconnected, forming the backbone of modern smart systems and autonomous technologies.

Current sensing and control research within MISHE includes:

• Environmental sensing and modelling.
• Biosensing and wearables.
• Surgical perception and control systems.
• Sensing and control in pharmaceutical and medical device manufacturing.
• Perception systems for robot perception and safe human-robot collaboration.
•  Analysis of complex multi-agent dynamical systems and how mathematical control can steer these forces toward stability, fairness, and resilience.
• Mechatronic systems for stroke rehabilitation.

Principal Investigators involved in this research area include: