47 citations · 71 across the 8 of their papers we have counts for
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cs.RO2023★ 6 cited
MonoForce: Self-supervised Learning of Physics-informed Model for Predicting Robot-terrain Interaction
Ruslan Agishev, Karel Zimmermann, Vladimír Kubelka +2
While autonomous navigation of mobile robots on rigid terrain is a well-explored problem, navigating on deformable terrain such as tall grass or bushes remains a challenge. To addr…
cs.RO2023★ 5 cited
Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss
Ruslan Agishev, Tomáš Pětříček, Karel Zimmermann
Depth perception is considered an invaluable source of information in the context of 3D mapping and various robotics applications. However, point cloud maps acquired using consumer…