A Robust RTK Navigation and Positioning Method for a Quadruped Robot in Complex Dynamic Environments
Abstract
A quadruped robot requires continuous, stable, and high-precision positioning for autonomous navigation in complex dynamic environments. However, its onboard GNSS observations are easily affected by tree canopy blockage, near-ground multipath, and endogenous electromagnetic interference from the platform. As a result, traditional dual-frequency RTK methods often suffer from long float periods, unstable ambiguity fixing, and poor trajectory continuity in complex scenes. To address this problem, this paper proposes a robust RTK positioning method that integrates wide-lane guidance constraints with a progressive Gaussian filtering update mechanism. The proposed approach follows a procedure of wide-lane guidance, progressive float estimation, and narrow-lane stepwise fixing. Based on dynamic experimental data collected from a quadruped robot in a campus environment, this paper compares the proposed AGF-WLL1 method with the conventional EKF-L1L2 method. The results show that the proposed method reduces the horizontal and vertical errors from 0.221 m and 0.319 m to 0.128 m and 0.178 m, respectively. The narrow-lane fixed-solution ratio increases from 67.054% to 77.286%, and the float-solution ratio decreases to 16.836%. The experimental results demonstrate that the proposed method enhances fixed-solution stability, trajectory continuity, and positioning robustness for quadruped robot navigation in environments with blockage and interference.