Xingxing Zhou

Jiangnan University, Guangdong Academy of Agricultural Sciences

Papers

Total Citations

H-Index

About

Xingxing Zhou is a researcher at the forefront of smart materials and agricultural automation, whose work bridges the gap between bio-inspired engineering and practical robotics. Zhou’s key research areas include the development of advanced artificial muscles and the application of deep learning for precision agriculture. A major contribution is the creation of free-standing, single-helical woolen yarn artificial muscles, which exhibit robust and trainable humidity-sensing actuation. This work, published in 2022 and cited 17 times, introduces an eco-friendly strategy for fabricating twisted yarn muscles that retain their twist, a critical challenge in the field. These materials hold transformative potential for soft robotics, smart textiles, and miniaturized controllers. In a separate impactful line of work, Zhou developed a lightweight-improved YOLOv5s model for grape fruit and stem recognition, garnering 12 citations since 2024. This innovation directly addresses the need for efficient mechanized harvesting by enabling fast, accurate target identification. By integrating sustainable material science with cutting-edge computer vision, Zhou is driving progress toward more intelligent and environmentally conscious robotic systems.