Shuo Dong

Jiangsu University of Science and Technology

Papers

Total Citations

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About

Shuo Dong is a researcher advancing the field of soft robotics and tactile sensing, with a focus on enhancing robotic manipulation and object recognition. Their key research areas include flexible tactile sensor design, soft gripper integration, and tactile-based classification for agricultural and industrial applications. Dong’s major contributions center on developing novel tactile sensor arrays that enable soft grippers to perceive and identify objects through touch, overcoming limitations of traditional vision-based systems. Notably, their 2023 paper on "Design and tactile classification of flexible tactile sensor for soft gripper" has garnered 12 citations, establishing a foundation for tactile recognition in soft robotics. Dong further demonstrated the practical utility of this technology in "Identification of fruit using a flexible tactile sensor array" (2024, 4 citations), addressing real-world challenges in sorting robots such as lighting and occlusion. Their work on interdigital flexible sensors using Velostat (2023, 2 citations) showcases innovation in sensor architecture for improved tactile information acquisition. Through these contributions, Dong is shaping the future of soft robotic systems that can safely and accurately interact with delicate objects, with potential impacts on automated agriculture, manufacturing, and healthcare.