Main characteristics
- Company
- University of Technology Sydney
- Salary
- $30,000
- Employment type
- Full time
- Category
- Education & Training
Job summary
Expressions of Interest InvitedProject Title: Human-Robot Collaboration: trust modelling and shared control
Contact: Distinguished Professor Dikai Liu
School: School of Mechanical and Mechatronic Engineering
Centre: Robotics Institute
UTS is an Australia leading technology-focus university with intensive investment on research. UTS computer science subject has been ranked in a world-leading level (below two ranking focus on research-related perspective).
UTS Computer Science subject is ranked 13 in worldwide by USNews 2022. https://www.usnews.com/education/best-global-universities/computer-science. UTS Computer Science subject is ranked 11 in worldwide by ShanghaiRanking 2021. https://www.shanghairanking.com/rankings/gras/2021/RS0210.
Project Description
Combing the strength of humans with the strength of robots provides a new way of automating tasks that are labour intensive and cannot be fully automated by the currently available technologies. Example tasks include assembly or heavy object handling in field environments. Human in the task execution loop is still needed or preferred. This research will investigate a framework and effective methods for optimal combination of strengths from both humans (e.g. perception, quick and intuitive thinking and acting, uncertainty handling) and robots (e.g. power, speed, accuracy and data-based decision-making). It will also develop performance models for predicting human co-workers performance in real time human-robot collaboration. Based on the performance models, a model for measuring robot trust in its human co-worker will be developed. Then shared control methods will be developed to achieve shared autonomy in human-robot collaboration. The developed models and methods will be verified in practical industrial applications.
If you would like to apply for this project, please send your CV and cover letter to Distinguished Professor Dikai Liu.