Papers

8

Total Citations

174

H-Index

5

About

Yinlong Zhu is a prolific researcher at the forefront of soft robotics, flexible sensing, and intelligent human-machine interaction systems. His work spans the design and modeling of soft actuators and robotic arms, the development of advanced flexible tactile sensors, and the application of medical navigation technologies in minimally invasive robotics. Zhu's most celebrated contribution — a carbon black/PDMS-based flexible capacitive tactile sensor capable of multi-directional force sensing — has garnered 67 citations since 2022, underscoring its significance to the robotics and wearable technology communities. His investigations into soft pneumatic manipulators for delicate fruit grasping and multi-degree-of-freedom actuators further demonstrate his commitment to solving real-world compliance and dexterity challenges in robotic systems. Notably, Zhu has also extended his expertise into medical robotics, exploring image-guided minimally invasive puncture systems with meaningful clinical implications. His more recent explorations of self-powered flexible sensors and modular soft robotic arm modeling signal an expanding research vision that bridges energy harvesting, biomechanics, and autonomous systems. With over 170 cumulative citations across a focused body of work, Zhu represents an emerging voice shaping the next generation of intelligent, adaptive robotic technologies.

Research Focus

Key Achievements

5
H-Index
8
Papers
174
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Carbon Black/PDMS Based Flexible Capacitive Tactile Sensor for Multi-Directional Force Sensing
67 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Shenyang Institute of Automation, Nanjing Forestry University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago