Design AI for Automated Guided Vehicles
6 days ago
In this master thesis project, you will explore how Machine Learning can be used to speed up the design process of Automated Guided Vehicle (AGV) systems. AGV systems are fleets of mobile robots that transport goods in a network of fixed virtual roads.
BackgroundThe current design process involves running time-consuming simulations to ensure the system can handle the intended traffic load without traffic jams. Faster feedback is essential to reduce costs. Your task will be to continue the work of a previous master thesis that used Graph Neural Networks to predict the traffic score of an intersection.
Goal of the ThesisYou will investigate how well the model can generalize when applied to larger and more diverse data sets. Opportunities may exist to look into generative models, such as Generative Adversarial Networks. The goal is to evaluate a range of different models on several synthetic data sets and calculate relevant metrics like precision and recall.
MethodologyThe task is a form of supervised learning. You will implement and train relevant models on existing data sets using Python libraries such as NumPy, pandas, Matplotlib, and PyTorch. You will then compare the results from different models and give recommendations on model selection. New datasets will be generated by selecting suitable scenarios in dialogue with domain experts at Kollmorgen.
RequirementsThis thesis project requires a solid background in mathematics, statistics, and programming. We are primarily looking for master students from engineering programs, such as Computer Science, Applied Physics, Applied Mathematics, and similar. Experience with Statistics, Machine Learning, and Neural Networks is also necessary.
What We OfferKollmorgen offers a dynamic and innovative work environment. As a master student, you will have access to great support from your supervisor and colleagues. All students are compensated after the thesis is submitted and the final work meets the quality standard accepted by the university and presented at Kollmorgen.
Additional InformationWe provide computers and offer a competitive salary of approximately $600-$800 per month, depending on experience. Our office is located in Mölndal, Sweden. Innovation Days are held every twelve weeks, where you can participate in 24-hour events to explore new areas and solve problems.
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