Zhengshuai Cao
Papers
1
Total Citations
14
H-Index
1
About
Zhengshuai Cao is a researcher at the forefront of robotic tactile sensing and intelligent manipulation. His work focuses on developing advanced optical soft tactile sensors and the deep learning algorithms needed to interpret their data, directly addressing the critical challenge of enabling robots to grasp objects with precision and reliability. His most cited paper, “Optical Soft Tactile Sensor Algorithm Based on Multiscale ResNet” (2023, 14 citations), introduces a novel multiscale residual network that significantly improves the accuracy of recognizing contact force intensity and object position from tactile sensor inputs. This contribution is vital for enhancing the dexterity and safety of robotic hands in real-world applications. By combining soft sensor design with robust neural network architectures, Cao’s research bridges the gap between physical sensing and intelligent perception, laying essential groundwork for more autonomous and capable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Optical Soft Tactile Sensor Algorithm Based on Multiscale ResNet14 citations · 2023