Artificial intelligence assisted nanogenerator applications

Abstract

Piezoelectric and triboelectric nanogenerators are at the forefront of converting ambient mechanical energy into electricity. These devices have experienced significant advancements in functionality and autonomy through integration with artificial intelligence (AI). This integration not only enhances their performance in autonomous operations by improving mechanical-to-electrical energy conversion efficiency, but also forges new pathways in robotics and intelligent systems. By increasing responsiveness and adaptability, these innovations expand the potential applications of nanogenerators. Looking ahead, the combination of nanogenerators with AI is poised to play a crucial role in developing sustainable, eco-friendly energy solutions. Their dual impact in advancing intelligent systems and promoting environmental sustainability signifies a significant milestone in nanogenerator technology for robotics. This review highlights the essential role of AI in refining nanogenerators, charting a path toward energy autonomy and sustainability.