Guohao Chen

Tianjin University, South China University of Technology

Papers

Total Citations

H-Index

About

Guohao Chen is a researcher at the forefront of precision measurement and intelligent robotic control. His work centers on advancing industrial automation through innovative sensing and human-robot interaction technologies. Chen’s most impactful contribution is in the development of high-precision dynamic measurement systems, notably through his work on Frequency Agile Spatial Encoding integrated FMCW LiDAR. This approach, detailed in his 2024 paper, overcomes the limitations of traditional instruments like laser trackers by enabling simultaneous localization and velocity tracking of moving targets, a critical advance for industrial precision metrology. In the realm of distributed control, Chen has pioneered the integration of TTEthernet in software-defined robotic systems, addressing the real-time and deterministic communication challenges essential for complex Industrial Internet of Things (IIoT) applications. His novel human-robot controlling approach, inspired by muscle memory and conditioned reflex, offers a unique training-responding paradigm to reduce redundant robot movements, enhancing intuitive interaction. With his most cited work accumulating 8 citations since 2024, Chen is establishing a reputation for bridging theoretical control concepts with practical, high-precision engineering solutions.