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record in feedback control theory. You will lead a vibrant research programme with a particular focus on robust control theory. Your control theory research may, potentially, also be motivated by advanced
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primary regenerative braking. EMBs are highly sensitive to EV harsh operating conditions. This project addresses this challenge by developing AI-based EMB clamping force estimators and robust control
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techniques including behavior cloning, reinforcement learning, and VLA reasoning Train models that are robust to real-world challenges such as sensor noise, partial observability, contact dynamics, and
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structural control for advanced multifunctional applications in electromagnetic shielding and thermal management. The detailed work includes: (1). Establish a precise fabrication methodology to construct long
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for the project include but will not be limited to: ● Developing robust conventional and learning-based controllers for control of both individual and assemblies of soft actuator modules
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practices and promote the importance of a robust control environment across campus. Special Projects: Performs a variety of special projects as assigned by the supervisor, the Associate Vice President
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Develop principled approaches to robustness challenges such as sensor noise, partial observability, contact dynamics, and environment variability Oversee the research pipeline from data collection strategy
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cutting-edge research with strong implementation expertise to create measurable value for industry and society. The Center for Vision, Automation & Control is looking for new Ingenious Partner for our
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the University’s financial control environment through proactive risk identification, robust controls and continuous improvement, including process optimisation, automation and data quality enhancements. Lead
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE