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the University of Nottingham alongside our ‘next-generation’ batteries research team. We want to understand the chemistry that underpins advanced energy systems and use this knowledge can be used to unlock new
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paradigms in reinforcement learning can be utilized to power robotics systems in autonomously optimizing the battery disassembly process from sensor feedback. Motivation The surge in electric vehicles (EVs
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on road surfaces also becomes paramount. The weight distribution of EVs, often due to heavy battery packs, may impact road degradation differently than conventional vehicles. Additionally, effects
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variety of industrial fields, especially in energy (batteries, electric motors, etc.), transport (heat exchangers, actuators, crash boxes, etc.), and defence. These FMs could replace assemblies