Nanlin Jin

Papers

Total Citations

H-Index

About

Nanlin Jin is a pioneering researcher at the intersection of human-robot interaction, assistive robotics, and affective computing. Their work focuses on developing intelligent robotic systems that directly address critical human needs, particularly for vulnerable populations. A standout contribution is the development of visual-based hearing-dog robots, designed to assist users with hearing impairments by translating auditory cues into visual signals—a novel approach that expands the accessibility of assistive technology. Jin has also made significant strides in mental health robotics, creating an EEG signal-based human-robot interaction system that uses reinforcement learning to regulate anxiety in real time. This work represents a cutting-edge fusion of neuroscience, machine learning, and robotics, offering a non-pharmacological intervention for a widespread public health issue. Although these pioneering papers are recent (2023–2024), they have already garnered citations, signaling growing recognition in the field. Jin’s research is notable for its direct societal impact, translating complex technical innovations into practical tools that improve quality of life, making them a rising voice in socially assistive robotics.