Papers
10
Total Citations
297
H-Index
6
About
Shuyu Wang is a robotics and materials researcher whose work sits at the intersection of soft robotics, hydrogel-based sensing, and machine learning. His research focuses on developing intelligent perception systems for soft robots, with particular emphasis on hydrogel sensors capable of multimodal sensing — detecting mechanical deformation, temperature, and tactile stimuli simultaneously. His most cited work, "A Highly Stretchable Hydrogel Sensor for Soft Robot Multi-Modal Perception" (2021, 68 citations), exemplifies his drive to solve one of soft robotics' central challenges: equipping compliant, elastomeric systems with reliable sensory feedback. Alongside this, his review on hydrogels and machine learning (63 citations) has become an important reference for researchers navigating signal processing in soft robotic systems. A particularly innovative contribution is his 2024 work unveiling gating behavior in piezoionic sensing (56 citations), which draws inspiration from neuromimetic principles to mimic biological tactile processing. Wang's research also extends to 3D LiDAR point cloud segmentation and autonomous mobile robot navigation, demonstrating breadth across the robotics field. With a growing body of work accumulating over 290 citations, Wang is establishing himself as a significant contributor to next-generation soft robotic intelligence.
Research Focus
Key Achievements
Top Papers
- 1A highly stretchable hydrogel sensor for soft robot multi-modal perception68 citations · 2021
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- 6A Hydrogel-Based Self-Sensing Underwater Actuator6 citations · 2022
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- 9Study on a New Bridge Crack Detection Robot Based on Machine Vision3 citations · 2012
- 10An autonomous navigation method for mobile robot based on ROS2 citations · 2019