Guibing Pang
Papers
2
Total Citations
23
H-Index
2
About
Guibing Pang is a robotics researcher whose work sits at the intersection of intelligent control systems, mechanical design, and automated manufacturing. His most cited paper, "Design of a Parallel Quadruped Robot Based on a Novel Intelligent Control System" (2022, 18 citations), introduces a groundbreaking approach to achieving high-precision trajectory tracking and stable gait in legged robots. By developing a novel mechanical structure paired with an optimized foot trajectory and kinematics models using the Denavit–Hartenberg method, Pang addresses fundamental challenges in quadruped locomotion—balancing dynamic stability with control accuracy. His second major contribution, "Research on Point Cloud Processing and Grinding Trajectory Planning of Steel Helmet Based on 3D Scanner" (2023, 5 citations), tackles the practical industrial problem of automating grinding processes. By integrating 3D scanning for rapid, accurate model acquisition, Pang moves beyond traditional manual teaching and offline programming, enabling flexible, data-driven trajectory planning for complex geometries. Together, these works demonstrate Pang’s dual focus on foundational robotics theory and applied manufacturing solutions. His research is particularly notable for bridging the gap between novel control architectures and real-world industrial automation, offering pathways toward more adaptive, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2