Yanghong Zhang
Papers
1
Total Citations
31
H-Index
1
About
Yanghong Zhang is a pioneering researcher at the intersection of soft robotics, bioinspired materials, and intelligent sensing systems. Their most-cited work, "Robotic Manipulation under Harsh Conditions Using Self‐Healing Silk‐Based Iontronics" (2021, 31 citations), introduces a groundbreaking approach to human-robotic interaction by developing flexible, self-healing iontronic sensors derived from silk proteins. This innovation bridges a critical gap in the field: conventional sensors are typically optimized for either human-side data collection or robot-side feedback, but Zhang’s design seamlessly integrates both functions, enabling robust manipulation even in extreme environments. By leveraging silk’s natural biocompatibility and self-repairing properties, their work advances the durability and adaptability of soft robotic systems, with direct applications in disaster response, deep-sea exploration, and medical prosthetics. Beyond this flagship study, Zhang’s broader research portfolio focuses on creating multifunctional materials that merge mechanical flexibility with electronic functionality, pushing the boundaries of what soft robots can perceive and achieve. Their contributions are shaping the next generation of autonomous systems that can sense, adapt, and heal—key steps toward truly intelligent human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1