Artificial Intelligence Assisted Nanogenerator Applications

Abstract

Piezoelectric and triboelectric nanogenerators are at the forefront of converting ambient mechanical energy into electricity. They have experienced a significant leap in functionality and autonomy through integration with artificial intelligence (AI). This integration not only boosts nanogenerator performance for autonomous operations by improving mechanical-to-electrical energy conversion efficiency but also forges new pathways in robotics and intelligent systems. It enhances the responsiveness and adaptability of these devices. Looking ahead, combining nanogenerators with AI is set to play a crucial role in promoting sustainable and eco-friendly energy solutions. Their dual contribution to advancing the capabilities of intelligent systems and promoting environmental sustainability marks a significant advancement in the use of nanogenerators in robotics. This review underscores the essential role of AI in refining nanogenerators, highlighting a path toward achieving energy autonomy and sustainability.