Capabilities: Research Team, QUB Partners, Opportunities
Key areas of competency within the Centre include:
- Cooperative multi-robot and autonomous systems
- Parallel Robots / Parallel Kinematic Machines
- Advanced Machining
- Metrology enabled manufacturing
- Digital manufacturing, process and factory simulation
- VR, AR and haptics
- AI/machine learning and data analytics
- Control and optimisation
The Queen's community in partnership
Skill and knowledge leveraged by the wealth of talent from across the Queen's University community
The i-AMS team has great skill and deep knowledge in the science and technology that underpins Industry 4.0. They are supported by energetic, capable and experienced researchers and engineers. Leverage is gained by access to the wider Queen’s University community, from where we draw on the wealth of exceptional talent in globally recognised institutes, research centres and schools.
Opportunities to participate in i-AMS research through PhDs
The i-AMS centre welcomes expressions of interests from prospective students for PhD research at any time of the year. Prepare a submission and a CV, and submit them to email@example.com. Set your submission in the context of our three Research Themes, i.e., virtual sensing, prognostics and simulation; flexible automation and cobotics; and autonomous and intelligent decision making. Topics within these themes include, immersive environments, autonomous systems, unmanned mobile systems, manufacturing informatics, intelligent systems and control, system identification and cooperative control, virtual reality, 3D graphics, computational intelligence techniques, etc.