Europe is spearheading initiatives aimed at optimizing the reverse logistics of batteries and revolutionizing the dismantling and sorting processes for EoL batteries. One key focus area is the development of more efficient and universal methods for battery discharge and initial diagnosis during reverse logistics. By streamlining these processes, projects aim to improve the efficiency of battery recycling and minimize delays in the transportation and handling of EoL batteries. Moreover, public funding bodies are investing in the deployment of robotic systems designed for flexible product manipulation, dismantling, and sorting. These advanced robotic systems enable precise and efficient disassembly of battery packs, maximizing resource recovery and minimizing manual labor. Such development goes in line with the implementation of smart sorting and dismantling systems capable of automated classification and dismantling of LIBs. These systems leverage cutting-edge technologies to identify and separate battery components, optimizing the recycling process. Furthermore, there is a strong need to establish pilot lines equipped with robotized and automated disassembly of battery packs. These pilot lines serve as testbeds for innovative dismantling technologies, paving the way for scalable and efficient battery recycling operations. In this view the integration of AI into automated dismantling processes, enabling accurate sorting and classification of battery components. AI-driven dismantling systems enhance the precision and efficiency of battery recycling, improving resource recovery rates. Adaptable and safe dismantling and sorting of EoL batteries and components using robotics, ML, and other Industry 4.0 technologies are of paramount importance. These advanced systems ensure the safe handling and processing of batteries, mitigating risks associated with manual dismantling and sorting processes.