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07/14/2023
A Dynamic Points Removal Benchmark in Point Cloud Maps
In the field of robotics, the point cloud has become an essential map re...
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06/26/2023
Happily Error After: Framework Development and User Study for Correcting Robot Perception Errors in Virtual Reality
While we can see robots in more areas of our lives, they still make erro...
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06/12/2023
Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted Data
Multimodal sensor fusion methods for 3D object detection have been revol...
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01/19/2023
RGB-D-Based Categorical Object Pose and Shape Estimation: Methods, Datasets, and Evaluation
Recently, various methods for 6D pose and shape estimation of objects at...
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01/12/2023
What you see is (not) what you get: A VR Framework for Correcting Robot Errors
Many solutions tailored for intuitive visualization or teleoperation of ...
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01/05/2023
A Probabilistic Framework for Visual Localization in Ambiguous Scenes
Visual localization allows autonomous robots to relocalize when losing t...
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11/07/2022
SLICT: Multi-input Multi-scale Surfel-Based Lidar-Inertial Continuous-Time Odometry and Mapping
While feature association to a global map has significant benefits, to k...
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11/03/2022
Semantic 3D Grid Maps for Autonomous Driving
Maps play a key role in rapidly developing area of autonomous driving. W...
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07/11/2022
SDFEst: Categorical Pose and Shape Estimation of Objects from RGB-D using Signed Distance Fields
Rich geometric understanding of the world is an important component of m...
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05/04/2022
SDF-based RGB-D Camera Tracking in Neural Scene Representations
We consider the problem of tracking the 6D pose of a moving RGB-D camera...
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03/07/2022
FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics
Floor plans are the basis of reasoning in and communicating about indoor...
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02/21/2022
On the Evaluation of RGB-D-based Categorical Pose and Shape Estimation
Recently, various methods for 6D pose and shape estimation of objects ha...
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03/10/2020
UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown
3D models are an essential part of many robotic applications. In applica...
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09/19/2019
Flexible Disaster Response of Tomorrow -- Final Presentation and Evaluation of the CENTAURO System
Mobile manipulation robots have high potential to support rescue forces ...
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09/17/2019
Adversarial Feature Training for Generalizable Robotic Visuomotor Control
Deep reinforcement learning (RL) has enabled training action-selection p...
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06/04/2019
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition
While today's robots are able to perform sophisticated tasks, they can o...
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03/21/2019
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction
In this paper, we proposed a new deep learning based dense monocular SLA...
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02/28/2019
GCNv2: Efficient Correspondence Prediction for Real-Time SLAM
In this paper, we present a deep learning-based network, GCNv2, for gene...
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11/08/2018
Meta-Learning for Multi-objective Reinforcement Learning
Multi-objective reinforcement learning (MORL) is the generalization of s...
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07/03/2018
Kitting in the Wild through Online Domain Adaptation
Technological developments call for increasing perception and action cap...
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04/27/2018
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments
Mobile robot navigation in complex and dynamic environments is a challen...
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04/11/2018
Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization
In this paper we address the problem of unsupervised localization of obj...
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01/28/2018
Multiple Object Detection, Tracking and Long-Term Dynamics Learning in Large 3D Maps
In this work, we present a method for tracking and learning the dynamics...
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12/22/2017
Detection and Tracking of General Movable Objects in Large 3D Maps
This paper studies the problem of detection and tracking of general obje...
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10/18/2017