Summary of Project
Service robots have developed considerably in recent years to assist human’s daily life. Model Predictive Control (MPC) appears to be one of the popular process control methods and has demonstrated its effectiveness for industrial applications. However, an accurate model is difficult to obtain when complex dexterous manipulation is required in some of the tasks in unstructured environments. Deep imitation learning is an end-to-end learning approach. However, it has inherent black-box effects. To this end, we aim to combine knowledge-based modeling and data-driven approaches to develop intelligent service robots to assist human’s daily life.
Academic criteria: A first-class undergraduate degree or a master degree.
Applicants will also need to meet the University’s English Language requirements by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.
Desirable Applicants will have:
• Strong programming skills
• Solid skills in theoretical analysis
• Strong communication skills in oral and written English
• Interest in autonomous robotics, machine learning, computer vision
Dr. Dandan Zhang, Prof. Nathan Lepora