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student and faculty innovation and entrepreneurship that make a difference in the world. Expectations An ideal candidate will: Have a prior track record of publications at standard ML or robotics venues Be
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Future-Proof Smart Logistics. It aims to contribute to the realisation of the PI concept by developing advanced machine learning-based decentralised decision-making algorithms. These algorithms will enable
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construction machinery to improve efficiency, adaptability, and safety under varying operating conditions. The work will involve designing and prototyping intelligent control algorithms, developing runtime
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performance. Its role is pivotal in the overall performance and safety of the vehicle, underscoring the importance of our work in this field. Various algorithms, models, and signals control different components