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Michał R. Nowicki

2 accepted papers

2023

Learning an Efficient Terrain Representation for Haptic Localization of a Legged Robot

ICRA 2023poster

Although haptic sensing has recently been used for legged robot localization in extreme environments where a camera or LiDAR might fail, the problem of efficiently representing the haptic signatures in a learned prior map is still open. This paper introduces an approach to terrain representation for…

Cited by 5SourceScholar
2022

Unsupervised Learning of Terrain Representations for Haptic Monte Carlo Localization

ICRA 2022poster

Haptic sensing has recently been used effectively for legged robot localization in extreme scenarios where cam-eras and LiDAR might fail, such as dusty mines and foggy sewers. However, existing haptic sensing mainly relies on supervised classification, with training and evaluation executed over expl…

Cited by 5SourceScholar