Following automatic disassembly, Lu et al. demonstrated a cyber-enabled and ML-enhanced battery disassembly system. The system utilized computer vision to classify different types of batteries based on their brands and sizes. Real-time temperature data captured from a thermal camera was then combined with a data-driven prediction model to forecast cutting temperature patterns. Subsequently, a closed-loop control mechanism was implemented to prevent temperature spikes by timely adjustments to cutting variables. Moreover, quality control was ensured through the use of a computer vision model to detect and mitigate cutting defects.