Xinqing Zhang
Wuhan University of Technology, Hubei University of Technology
Papers
2
Total Citations
9
H-Index
2
About
Xinqing Zhang is a robotics researcher whose work focuses on intelligent motion planning and kinematic optimization for autonomous systems. Their primary research areas include mobile robot navigation, swarm intelligence algorithms, and redundant manipulator control. Zhang’s most notable contribution is the development of an improved ant colony algorithm for optimal path planning in mobile robots, which addresses the limitations of traditional approaches—such as slow convergence and susceptibility to local optima—by enhancing positive feedback mechanisms and distributed search capabilities. This work, published in 2021, has garnered 7 citations and is recognized as a valuable advancement in the field of autonomous navigation. Additionally, Zhang has tackled the complex challenge of inverse kinematics for seven-degree-of-freedom manipulators, introducing a pose separation method that reduces computational dimensionality while preserving the arm’s obstacle-avoidance flexibility. This research, with 2 citations, offers a practical solution for controlling high-DOF robotic arms in constrained environments. By combining bio-inspired optimization with kinematic modeling, Zhang’s work contributes to more efficient and adaptable robotic systems, making it relevant for researchers in robotics, automation, and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2