Xie Zhijian

Guangzhou Academy of Special Equipment Inspection and Testing, Chongqing University

Papers

Total Citations

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About

Xie Zhijian is a robotics researcher whose work focuses on advancing the locomotion and control of specialized robotic systems, particularly climbing and parallel robots. His primary contributions lie in the design and gait planning of legged robots for high-altitude operations, addressing the critical challenge of autonomous cross-plane transitions. In his most cited work, "Model design and gait planning of hexapod climbing robot" (2021), he developed a novel transition gait algorithm that enables a hexapod robot to autonomously move between multiple planes—a key capability for performing tasks at height where traditional walking robots fail. This paper has garnered 10 citations, reflecting its relevance to the field of field robotics. Additionally, Xie has explored intelligent control methods for parallel robots, as seen in his 2014 paper on using a BP neural network for the forward kinematics solution of a 6-PSS parallel robot. By employing the Levenberg-Marquardt algorithm for training, he demonstrated a data-driven approach to solving complex nonlinear mappings in joint space. His work bridges practical mechanical design with advanced computational methods, offering valuable insights for students and researchers interested in climbing robots, parallel mechanisms, and neural network-based control.