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Global Path Planner with Multi-Model Switching

arXiv · AI, language, vision and robotics · article · Sep 11, 2026 · UTC

This work enhances global path planning via a pure-pursuit controller with multi-model kinematic switching that sustains plan fidelity across diverse terrains. The system includes a traversability graph for terrain analysis, a Heading-Aware A* algorithm for generating feasible paths, and a multi-model Pure Pursuit controller for dynamic tracking. A core innovation is adaptive kinematic modeling, enabling real-time switching between kinematic models based on terrain features and robot states. This adaptability optimizes path efficiency and energy use in challenging scenarios. We validate the ap

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Evidence & attribution

First collected: 2026-09-20T18:22:04.777Z. This is not the publication date.