Motion-aware Traversability (MAT) models each terrain region as a Gaussian function of velocity, enabling robots to predict and use speed-dependent costs for agile jumping in off-road navigation.
Model predictive control for aggressive driving over uneven terrain.arXiv preprint arXiv:2311.12284, 2023
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A structured learning approach for multistep distributional dynamics in belief space enables real-time risk-aware MPC, validated via ablation on real off-road data and deployment on a full-sized vehicle.
citing papers explorer
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Learning When to Jump for Off-road Navigation
Motion-aware Traversability (MAT) models each terrain region as a Gaussian function of velocity, enabling robots to predict and use speed-dependent costs for agile jumping in off-road navigation.
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Multistep Belief Space Dynamics Learning For Risk-Aware Control
A structured learning approach for multistep distributional dynamics in belief space enables real-time risk-aware MPC, validated via ablation on real off-road data and deployment on a full-sized vehicle.