Safe Human-Robot Interaction for Offshore Inspection
**Note: Project availability subject to collaboration agreement being signed**
This exciting PhD project is sponsored by Total where you will work on human-robot interaction with their latest robot for inspection of offshore oil and gas platforms.
For humans to collaborate effectively and safely on shared tasks in human-machine teams, they need to be able to develop a trusting, working relationship through interaction, dialogue and speech. To do this, partners need to have a mutual understanding of the world and the task at hand. As robotic systems become more human-like and autonomous, this relationship with humans becomes more important; because once established, human-machine teams will need to be more efficient and more robust to be able to safely handle problematic situations, for example, when failure occurs, be it on the system or human side.
You will investigate interaction techniques to address some of the following research questions, firstly in simulation then with the real robot. Example topics include:
- Techniques for vision-and-language navigation, following natural language instructions situated in a dynamic, shared view of the world.
- Techniques to enable a human operator to teach the robot by incrementally building common ground through situated human-robot dialogue.
- Techniques to explain the robot’s actions to increase transparency and thus adoption.
- Voice-enabled search over logs of information gathered from the robot (images/sensor output) to inform inspection and manage operator information overload.