Papers
5
Total Citations
88
H-Index
4
About
Dr. Jing An is a leading researcher in the field of robotic manipulation, with a primary focus on intelligent grasping, tactile perception, and human-robot interaction. Her work bridges the critical gap between visual and tactile sensing to enhance robotic dexterity and autonomy. Dr. An’s most influential contribution is her comprehensive review on robot intelligent grasping based on tactile perception (2024), which has already garnered 67 citations, establishing a foundational reference for the field. She has developed innovative algorithms such as PTFD-Net, a sliding detection system that fuses point cloud and tactile data to improve grasping stability—a significant advance over traditional 2D vision methods that struggle with lighting variability. Her research also extends to practical applications, including a fabric-integrated wearable glove with a twisted string actuator for manual handling tasks (2025), demonstrating her commitment to real-world assistive technologies. Additionally, Dr. An has designed efficient networks for target-oriented grasping in cluttered environments and autonomous control systems that integrate visual object recognition with tactile feedback. Her work is highly cited and widely recognized for solving fundamental challenges in fine manipulation, making her a key figure in advancing both robotic grasping and wearable robotic systems.
Research Focus
Key Achievements
Top Papers
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