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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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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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06/16/2022
UAVs Beneath the Surface: Cooperative Autonomy for Subterranean Search and Rescue in DARPA SubT
This paper presents a novel approach for autonomous cooperating UAVs in ...
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06/15/2022
Real3D-Aug: Point Cloud Augmentation by Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation
Object detection and semantic segmentation with the 3D lidar point cloud...
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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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04/30/2020
PreCNet: Next Frame Video Prediction Based on Predictive Coding
Predictive coding, currently a highly influential theory in neuroscience...
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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