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Cost-Efficient Global Robot Navigation in Rugged Off-Road Terrain

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2011

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Springer

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The thesis “Cost-Efficient Global Robot Navigation in Rugged Off-Road Terrain” proposes a global robot navigation concept for rugged off-road terrain which is robust against inaccurate self-localization and scalable to large environments, but also cost-conscious, e.g. able to generate navigation paths which optimize a cost measure closely related to terrain traversability. The thesis contributes a set of new techniques to integrate cost-consciousness into a primarily topological navigation scheme. Also, novel methods to learn and optimize cost estimates from experience are developed.

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Braun, T. (2011): Cost-Efficient Global Robot Navigation in Rugged Off-Road Terrain. KI - Künstliche Intelligenz: Vol. 25, No. 2. Springer. PISSN: 1610-1987. pp. 173-177

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