About the Project
The project will address fundamental challenges in human-robot collaboration in the manufacturing environment, such as the limitation of one-to-one sensing between humans and robots, the lack of adaptive and stochastic modeling methods for reliable recognition and prediction of human actions and motions in different manufacturing scenarios, and multi-scale human-robot coordination. To address these challenges, multi-disciplinary research involving sensing, machine learning, stochastic modeling, robot path planning, and advanced manufacturing will be performed. Specific tasks include algorithm development and deployment on lab-scale and real-world testbeds to: (1) sense and recognize where objects (e.g., robots, humans, parts or tools) are located and what each worker is doing; (2) predict what the next human action will be; and (3) plan and control safe and optimal robot trajectories for individualized on-the-job assistance for humans, proactively avoiding worker injury.
The project will be based in the Industry 4.0 lab at The University of Auckland (https://lisms.auckland.ac.nz/), working with colleagues at the Industrial Artificial Intelligence Research Group (https://iai.auckland.ac.nz).
The successful candidate will receive comprehensive research training including technical, personal and professional skills.
• Academic background in mechatronics, mechanical or control, and automation;
• Strong mathematical and programming skills;
• Excellent communication skills and ability to interact professionally and productively in a team environment. Can-do attitude.
HOW TO APPLY
To apply for this position, please:
1. Send your cover letter, CV, academic transcripts and publication list to Dr. Yuqian Lu ([Email Address Removed]) to find out more about this project.
2. Apply online at https://www.auckland.ac.nz/en/study/applications-and-admissions/how-to-apply/postgraduate-admission/doctoral-applications.html
Duration of study: Full-Time – between three and three and a half years fixed term.
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