research
∙
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...
share
research
∙
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...
research
∙
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 ...
research
∙
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...
research
∙
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 ...
research
∙
04/30/2020
PreCNet: Next Frame Video Prediction Based on Predictive Coding
Predictive coding, currently a highly influential theory in neuroscience...
research
∙
04/05/2018
Data-driven Policy Transfer with Imprecise Perception Simulation
The paper presents a complete pipeline for learning continuous motion co...
research
∙
08/07/2017
Learning for Active 3D Mapping
We propose an active 3D mapping method for depth sensors, which allow in...
research
∙
12/08/2016
