Zhuo Tang
Papers
1
Total Citations
9
H-Index
1
About
Zhuo Tang is a leading researcher in industrial robotics and intelligent manufacturing, with a focus on force control systems and the Industrial Internet of Things (IIoT). His most-cited work, "A Polishing Robot Force Control System Based on Time Series Data in Industrial Internet of Things" (2021, 9 citations), addresses a critical challenge in robotic automation: achieving precise force feedback without relying on expensive, closed-architecture industrial robot controllers. By integrating a six-dimensional force/torque sensor with time-series data analysis, Tang proposes a cost-effective and scalable solution for mass production environments, such as polishing tasks. This contribution bridges the gap between advanced sensor technology and practical industrial deployment, highlighting his expertise in sensor fusion, control algorithms, and IIoT integration. Tang’s work is particularly notable for its potential to democratize force-controlled robotics, making high-precision automation more accessible to small and medium manufacturers. His research continues to influence the development of adaptive, data-driven robotic systems, earning him recognition as a key innovator in smart manufacturing and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1