Song Qi
Papers
7
Total Citations
1,157
H-Index
7
About
Song Qi is a materials scientist and robotics researcher whose work sits at the dynamic intersection of smart materials, soft robotics, and bio-inspired sensing. He is best known for his pioneering development of triboelectric and magnetorheological systems, with his landmark 2018 paper on self-powered triboelectric auditory sensors accumulating an impressive 776 citations — a testament to its transformative influence on social robotics and hearing aid technology. By designing a sensor capable of mimicking the human auditory system without an external power source, Qi opened new frontiers in human-robot communication. Beyond sensing, Qi has made substantial contributions to magneto-active soft matter, developing 3D and 4D printable materials with remarkable programmable properties including shape memory, self-healing, switchable stiffness, and reprogrammable morphing — work that has collectively garnered hundreds of citations and advanced the field of biomimetic engineering. His magnetorheological elastomer research further demonstrates his commitment to practical applications, spanning vibration control, precision polishing, and intelligent grasping systems. Through the synthesis of novel polymer blends with enhanced thermostability and mechanical performance, Qi continues to bridge fundamental materials science with real-world engineering challenges, establishing himself as an influential voice in next-generation smart material systems.
Research Focus
Key Achievements
Top Papers
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