For the next 15 years, a greater demand for well-trained healthcare workers is expected. Yet, current trends identified by the World Health Organization indicate shortages of such workers. The use of mobile manipulation robots could help alleviate healthcare workers by taking on physically demanding and repetitive tasks. In the EU project Harmony, we are developing a robot which can operate within hospital laboratories and deliver test samples throughout the hospital. During its travels, the robot will need social capabilities in order to navigate these human-centred environments in an acceptable and safe manner.
We are seeking a research engineer for a full-time 6-month project on “Robots learning social behaviour through machine learning”, with the possibility of extending the contract on a part-time basis for another 6 months. The goal of this project is to develop a machine learning module that automatically learns what social behaviours are appropriate in certain contexts while navigating hospital hallways. This will involve running a data collection study, programming a social behaviour learning model using machine learning techniques, and training these models with the collected data and other datasets that are publicly available. The possible extension is for a different project in an agricultural context where we are studying how sensor data from agricultural sites can be translated to the farmers and consumers. The exact activities are to be defined further.
For this position, you will be responsible for:
- Setting up and running a data collection study with a newly developed robot.
- Design, implement, and train machine learning models that a robot can use to learn what social behaviours are appropriate for certain contexts.