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The aim is to develop a path-planning framework that enhances the rover's navigation through deceptive terrains on Mars.

Integrating A* and APF for Dynamic Path Planning for the Mars Rover: A Fusion Approach to Avoid Deceptive Terrain

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The aim is to develop a path-planning framework that enhances the rover's navigation through deceptive terrains on Mars.
Integrated A* algorithm with artificial potential field (APF) for dynamic path planning.
Implemented dynamic gain-scheduling to adjust repulsive forces as the rover moves away from hazards.
Extended 2D curvature penalty into three dimensions to reduce oscillations on uneven surfaces.
Reduced path length by up to 24.31%.
Decreased path oscillation by up to 82.61%.
Lowered cumulative risk by up to 36.51%.

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Randomized trial demonstrates enhanced path-planning for Mars rovers, indicating improved safety and efficiency.

Liu et al. (2026) studied this question.

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