Papers
3
Total Citations
32
H-Index
2
About
Xinyue Zhou is a rising researcher at the intersection of soft robotics, intelligent sensing, and autonomous navigation. Her work focuses on developing bio-inspired robotic systems that can perceive and interact with complex, unstructured environments—particularly underwater. Zhou’s most notable contribution is the design of an octopus-inspired soft gripper integrated with a triboelectric tactile sensor, enabling underwater target recognition and secure grasping. This work, published in 2025, has already garnered 20 citations, signaling its impact on the growing field of soft robotics for marine applications. She has also advanced autonomous navigation with a safe heuristic path-planning method based on a search strategy, which addresses the critical challenge of generating collision-free, smooth paths for industrial robots. Additionally, Zhou has explored liquid-metal-enhanced triboelectric whisker sensors for underwater flow measurement and collision detection, further demonstrating her versatility in merging materials science with robotic perception. Her research is paving the way for more dexterous, perceptive, and safer robotic systems in challenging environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Safe Heuristic Path-Planning Method Based on a Search Strategy10 citations · 2023
- 3