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09/16/2023
MonoForce: Self-supervised learning of physics-aware grey-box model for predicting the robot-terrain interaction
We introduce an explainable, physics-aware, and end-to-end differentiabl...
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03/02/2023
Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss
Depth perception is considered an invaluable source of information in th...
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11/09/2022
Similarity among the 2D-shapes and the analysis of dissimilarity scores
We present a conceptually simple and intuitive method to calculate and t...
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07/13/2022
Teachers in concordance for pseudo-labeling of 3D sequential data
Automatic pseudo-labeling is a powerful tool to tap into large amounts o...
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10/12/2021
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge
We present a field report of CTU-CRAS-NORLAB team from the Subterranean ...
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04/05/2018
Data-driven Policy Transfer with Imprecise Perception Simulation
The paper presents a complete pipeline for learning continuous motion co...
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08/07/2017
Learning for Active 3D Mapping
We propose an active 3D mapping method for depth sensors, which allow in...
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12/08/2016