Robot’s have the potential to revolutionise how we undertake dangerous and mundane tasks. Search and rescue is one such dangerous task.
In this project we develop an urban search and rescue robot using the 4-legged Unitree Go2 robot. We will develop advanced mapping and search techniques able to operate in simulated rescue scenarios. The eventual goal is to compete in the annual RoboCup Rescue competition. In this project you will learn how to use the data from the many sophisticated sensors on the Go2 to navigate rescue environments and identify objects including people that require assistance.
School
Computer Science and Engineering
Research Area
Artificial intelligence | Machine learning | Robotics
Suitable for recognition of Work Integrated Learning (industrial training)?
No
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
Robotics Lab in the School of Computer Science and Engineering, working with current Vertically Integrated Project and Honours thesis students on the same topic.
- Development & Implementation: Implement sophisticated navigation and computer vision algorithms using the Robot Operating System (ROS).
- RoboCup Experience: Development of a competitor for the international RoboCup Rescue competition.
