MUSES

Robots are widely foreseen to play a major role in asset monitoring and management in extreme environments in the very near future. Whilst the development of robot capabilities to perform semi-autonomous or fully autonomous inspection and intervention missions are well advanced, the ability to adapt their sensing modalities to various tasks and environments cost-effectively and with minimal modifications to the robot hardware and software is relatively primitive.

This project will look to develop a versatile electronic skin endowed with flexible sensing modalities that can be deployed on robots or directly onto assets to be monitored using recent advances in flexible electronics and low-power sensor packaging. Moreover, new requirements for remote sensing in harsh environments require the development of multisensory systems to simultaneously measure multiple parameters whilst also exploring new deployment strategies whereby sensors can be moved around using a mobile robotic platform able to reach inaccessible holes and cavities.

The project will initially focus on pH and dissolved Oxygen (DO) temperature and pressure sensors based eSkin patches and their integration into a robotic platform for online quality monitoring.

The overall concept is summarised in this diagram:

Lead Investigator: Professor Ravinder Dahiya , University of Glasgow

Project Partners:

For information about the Multi-Sensory Skin for Underwater Robots project please contact Professor Ravinder Dahiya.