Yangyang Wei

Jiangsu University of Science and Technology

Papers

4

Total Citations

31

H-Index

3

About

Yangyang Wei is a researcher at the forefront of soft robotics and tactile sensing, focusing on enhancing robotic perception for object manipulation and sorting. Their major contributions lie in developing flexible tactile sensor arrays and classification algorithms that enable robots to identify and recognize objects—particularly fruits—through touch rather than vision. This approach overcomes common limitations in automated sorting, such as poor lighting or occlusion, by allowing robots to directly perceive physical attributes like texture and hardness. Wei’s work on interdigital tactile sensors using Velostat and their integration into soft grippers has yielded practical designs for safer, more adaptable robotic hands. With key publications including "Fruit recognition and classification based on tactile information of flexible hand" (13 citations) and "Design and tactile classification of flexible tactile sensor for soft gripper" (12 citations), their research has garnered attention for addressing real-world challenges in agriculture and logistics. By pioneering tactile-based fruit identification and classification, Wei is advancing the capabilities of soft grippers, making them more intelligent and reliable for delicate handling tasks.

Research Focus

Key Achievements

3
H-Index
4
Papers
31
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Fruit recognition and classification based on tactile information of flexible hand
13 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Jiangsu University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago