Yifan Liu

Jiangnan University, ShanghaiTech University

Papers

3

Total Citations

52

H-Index

2

About

Yifan Liu is an innovative robotics and human-machine interaction researcher whose work spans rescue robotics, intelligent display systems, and flexible wearable sensing technologies. Liu's research is distinguished by its focus on bridging mechanical ingenuity with intelligent systems to address real-world challenges in disaster relief, rehabilitation, and human-computer interaction. Among Liu's most recognized contributions is a novel wheel-legged rescue robot featuring a four-bar linkage structure, offering high carrying capacity and adaptability in complex disaster environments — a study that has garnered 27 citations and demonstrates practical engineering impact. Building on expertise in human-machine interfaces, Liu also led the development of a Humanoid Intelligent Display Platform integrating audiovisual interaction and sound identification, earning 23 citations and signaling a forward-looking approach to humanized robotics. More recently, Liu has explored ultra-sensitive flexible sponge-sensor arrays capable of detecting muscle activity and recognizing human limb motion, with promising applications in prosthetics, assistive robotics, and medical rehabilitation. Collectively, Liu's portfolio reflects a coherent vision: designing intelligent, adaptive systems that enhance human safety, mobility, and interaction. Researchers in robotics, wearable technology, and rehabilitation engineering will find Liu's work both technically rigorous and broadly impactful.

Research Focus

Key Achievements

2
H-Index
3
Papers
52
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Design and analysis for a multifunctional rescue robot with four-bar wheel-legged structure
27 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Jiangnan University, ShanghaiTech University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago