The potential of tiny, locally ran models, with distinct tasks, is largely unexplored. Toyota Material Handling Europe seeks an investigation into the possibilities enabled by next-generation hardware, when applied to the context of material handling vehicles. In your Master Thesis at Toyota, you will work on:Implementation of pre-trained, task-specific models on a target MCU (stm32n6).Tailoring and training of custom task-specific modelsIntegration with existing systems to enable new functionalityCollaboration with another thesis work regarding exploration of possible use-cases.Implementing and integrating into manually driven forklifts, tiny task-specific models that may be used to enable new functionality. Examples of use-cases to explore include voice-command, gesture command, pallet analysis, obstacle detection and many more. Scope 2 individuals, 30 HP.For this master thesis, we are looking for students with following educations or equivalent:Master of Science in Engineering, Engineering PhysicsMaster of Science in Engineering, Electronic DesignWho is Toyota Material Handling? Toyota Material Handling is a global leader in material handling, and we are making significant investments to meet the needs of the future. At our site in Mjölby, 3,000 employees work across the entire material handling value chain, from development concepts to finished vehicles. Our product range spans from manual hand trucks to autonomous vehicles and innovative energy solutions. A Sustainable Employer At Toyota Material Handling, we strive to create a friendly, safe and forward-thinking workplace. Our culture is built on Toyota's core values, where respect and consideration guide us in our daily work. Our ambition is to strengthen our competitiveness by increasing diversity across the org…MjukvaruutvecklareMjukvaru- och systemutvecklare m.fl.
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