Papers
1
Total Citations
20
H-Index
1
About
Xuexing Guo is a robotics researcher whose work focuses on the control and dynamics of flexible robotic systems. His most-cited paper, "New trajectory control method for robot with flexible bar-groups based on workspace lattices" (2018, 20 citations), introduces an innovative approach to managing the complex motion of robots with flexible structural components. By leveraging workspace lattices, Guo developed a method that enhances precision and stability in trajectory control, addressing a critical challenge in the field of flexible robotics. This work has implications for applications ranging from industrial automation to soft robotics, where adaptability and accuracy are paramount. With a growing citation count, Guo's contributions are gaining recognition for their practical relevance and theoretical depth. His research bridges the gap between rigid and flexible robotic systems, offering new pathways for designing more versatile and resilient robots. As a researcher, Guo continues to explore the intersection of mechanics, control theory, and robotics, making him a notable figure in the advancement of flexible robot technologies.
Research Focus
Key Achievements
Top Papers
- 1