Chun Xiang

Zhejiang University of Water Resource and Electric Power

Papers

Total Citations

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About

Chun Xiang is a researcher whose work lies at the intersection of robotics and advanced mathematical physics, with a particular focus on the dynamics and control of biologically inspired robotic systems. Their major contributions include pioneering the application of algebraic and Lie group analysis methods to snake-like and wall-climbing robots. In their 2021 study on snake-like robot systems, Xiang derived the generalized Hamiltonian canonical equations and revealed their underlying Lie-admissible algebraic structures, offering a novel Poisson integral method for analyzing these complex, hyper-redundant mechanisms. This work, cited 6 times, provides a rigorous theoretical framework for understanding the motion and energy of serpentine robots. Building on this, Xiang’s 2022 paper applied Lie group symmetry analysis to wall-climbing robot systems, achieving 4 citations and demonstrating how continuous symmetries can simplify the governing equations of motion for these adhesion-dependent platforms. By bridging abstract algebra with practical robotics, Xiang has established a unique mathematical toolkit for designing more efficient and predictable locomotion in non-conventional robots. Their research is particularly valuable for students and engineers seeking to move beyond empirical control methods toward a deeper, structure-based understanding of robotic dynamics.