Tiansheng Sun
Papers
2
Total Citations
12
H-Index
2
About
Tiansheng Sun is a researcher advancing the frontiers of intelligent surgical robotics and action recognition. His work centers on two key areas: enhancing robotic surgery safety through force prediction, and improving human action recognition via graph-based deep learning. In a notable 2025 contribution, Sun tackled a critical challenge in robot-assisted minimally invasive surgery—the risk of soft tissue damage from excessive clamp force. He developed a robust solution using an Improved Sparrow Search Algorithm (ISSA) to optimize backpropagation neural networks, enabling accurate prediction of tool-tissue interaction forces. This work, already cited twice, promises to enhance surgical safety and efficiency by giving surgeons better feedback. Earlier, in 2022, Sun contributed to computer vision with a novel "center-connected graph convolutional network" for skeleton-based action recognition, which integrates salient image features to distinguish similar actions. This paper has garnered 10 citations, reflecting its impact on the field. Sun’s research bridges the gap between machine learning and practical biomedical engineering, offering tangible improvements for both robotic surgery and human-computer interaction.
Research Focus
Key Achievements
Top Papers
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