Terrain traversability estimation is a fundamental requirement to ensure the safety of autonomous planetary rovers and their ability to conduct long-term missions. This paper addresses two fundamental challenges for terrain traversability estimation techniques. First, representations of terrain data, which are typically built by the rover's onboard exteroceptive sensors, are often incomplete due to occlusions and sensor limitations. Second, during terrain traversal, the rover-terrain interaction can cause terrain deformation, which may significantly alter the difficulty of traversal. We propose a novel approach built on Gaussian process (GP) regression to learn, and consequently to predict, the rover's attitude and chassis configuration on unstructured terrain using terrain geometry information only. First, given incomplete terrain data, we make an initial prediction under the assumption that the terrain is rigid, using a learnt kernel function. Then, we refine this initial estimate to account for the effects of potential terrain deformation, using a near-to-far learning approach based on multitask GP regression. We present an extensive experimental validation of the proposed approach on terrain that is mostly rocky and whose geometry changes as a result of loads from rover traversals. This demonstrates the ability of the proposed approach to accurately predict the rover's attitude and configuration in partially occluded and deformable terrain.

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learnt kernel function multitask gp rover terrain traversability estimation predict the rovers attitude and chassis configuration potential terrain deformation occlusions and sensor limitations neartofar learning approach terrain geometry information roverterrain interaction gaussian process gp regression representations of terrain data occluded and deformable terrain

Thierry Peynot, Salah Sukkarieh,Ken Ho,.Nonparametric Traversability Estimation in Partially Occluded and Deformable Terrain. 33 (8),1158-1131.

Thierry Peynot, Salah Sukkarieh,Ken Ho,"Nonparametric Traversability Estimation in Partially Occluded and Deformable Terrain" 33

Thierry Peynot, Salah Sukkarieh,Ken Ho,"Nonparametric Traversability Estimation in Partially Occluded and Deformable Terrain"