View Proposal

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Proposer

Alistair Mcconnell

Title

Autonomous Gas Leak Detection in Distilleries Using a Mobile Robotic Sensor Platform

Goal

To build and integrate a gas sensing payload with a mobile robot to autonomously locate and pinpoint gas leaks in distillery environments.

Description

Whisky distilleries often produce volatile organic compounds and gases such as ethanol vapour, carbon dioxide and methane, which can present safety and operational risks. This project will involve mounting a suite of gas sensors onto a mobile robot platform (Husky, Spot, Turtlebot etc). The robot will actively explore and interact with its environment, using gas concentration feedback to guide its movements and refine its search path. By combining robotic navigation, SLAM (Simultaneous Localisation and Mapping), and gas distribution modelling, the system will autonomously identify the source of leaks within a distillery-like environment, improving both safety and efficiency.

Resources

Various gas sensors Mobile Robotics platform

Background

A background knowledge of handling real-time sensor data is desired. A knowledge of ROS or ROS2 would be desirable but not essential.

Url

Difficulty Level

Challenging

Ethical Approval

None

Number Of Students

1

Supervisor

Alistair Mcconnell

Keywords

robotics, real time sensing, slam, ros, ros2

Degrees

Bachelor of Science in Computer Science
Master of Engineering in Software Engineering
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Engineering in Robotics
Master of Science in Robotics with Industrial Application