Xiongxiong Zhang
Papers
1
Total Citations
17
H-Index
1
About
Xiongxiong Zhang is a researcher specializing in soft robotics and flexible sensor technologies, with a particular focus on optical fiber-based sensing systems for curvature and deformation measurement. Their most-cited work, "Optical fiber based soft curvature sensor with polyvinyl chloride reinforced silicone rubber substrate" (2018), has garnered 17 citations, demonstrating foundational contributions to the development of durable, compliant sensors that integrate optical fibers into reinforced elastomeric substrates. This innovation addresses critical challenges in soft robotics—namely, achieving accurate, repeatable curvature sensing while maintaining mechanical flexibility and robustness. Zhang’s research bridges materials science and optical engineering, enabling more reliable proprioception in soft robotic systems for applications in wearable devices, medical diagnostics, and human-machine interfaces. By combining polyvinyl chloride reinforcement with silicone rubber, they have enhanced sensor longevity without compromising softness, a key trade-off in the field. Their work is particularly notable for advancing practical, low-cost fabrication methods for soft sensors, making them more accessible for broader research and industrial adoption. Zhang’s contributions continue to influence the design of next-generation tactile and shape-sensing systems, underscoring their role in pushing the boundaries of soft robotics and smart materials.
Research Focus
Key Achievements
Top Papers
- 1