Zonglin Huang

Papers

Total Citations

H-Index

About

Zonglin Huang’s research lies at the intersection of robotics, control systems, and intelligent automation, with a particular focus on compliant joint mechanisms and parallel robot dynamics. His most cited work, “Design and implementation of robot serial integrated rotary joint with safety compliance” (2017, 11 citations), addresses a critical challenge in human-robot interaction: creating joints that are both functional and safe. Huang’s contributions extend to trajectory tracking and control of Delta parallel robots, where he proposed a geometric method for forward kinematics and a simplified dynamics model using the virtual work principle. His work on PD-type control with neural-network-based gravity compensation for compliant joint robots (2015) demonstrates innovative thinking in handling unknown or complex gravity models, ensuring high-performance control without explicit modeling. Though his citation counts are modest, Huang’s research is foundational for engineers developing safer, more adaptive robotic systems. His integration of neural networks into traditional control frameworks offers practical solutions for real-world applications, making his work valuable for students and researchers interested in compliant robotics, parallel mechanisms, and intelligent control strategies.