Fangfang Pan

Central South University, Nanchang University

Papers

Total Citations

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About

Fangfang Pan is a leading researcher in human-robot interaction and agricultural robotics, with a focus on enabling machines to perceive and respond to human emotional states. In their highly cited 2016 work, "A multimodal emotional communication based humans-robots interaction system" (38 citations), Pan introduced a pioneering framework that integrates speech, facial expression, and gesture recognition, allowing robots to both identify human emotions and generate appropriate, empathetic responses. This foundational contribution has significantly advanced the field of affective computing and social robotics. More recently, Pan has applied deep learning techniques to precision agriculture, as demonstrated in their 2020 paper on "Transfer Learning Based Fruits Image Segmentation for Fruit-Picking Robots" (10 citations). This work addresses the critical challenge of accurate fruit segmentation in complex, natural environments, proposing a transfer learning approach that reduces the need for extensive annotated datasets. By bridging emotional communication and practical automation, Pan’s research has broad implications for creating more intuitive service robots and efficient agricultural systems, establishing them as a key innovator in both socially aware and task-oriented robotics.