Fig. 6: The length TENG (L-TENG) and tactile TENG (T-TENG) sensors integrated digital twin unmanned warehouse system with machine learning (ML) technology.
From: Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications
a The process flows from sensory information collection to ML training and real-time prediction in digital twin system, e.g., digital twin assembly line. The principal component analysis (PCA) is implemented to extract the data feature for ML training based on support vector machine (SVM). b Real-time gripped object prediction system. c The system interface integrated with object recognition and its digital twin warehouse application.
