research
∙
09/15/2023
Object-oriented mapping in dynamic environments
Grid maps, especially occupancy grid maps, are ubiquitous in many mobile...
share
research
∙
05/26/2023
Localization under consistent assumptions over dynamics
Accurate maps are a prerequisite for virtually all autonomous vehicle ta...
research
∙
02/21/2023
Constrained Generative Sampling of 6-DoF Grasps
Most state-of-the-art data-driven grasp sampling methods propose stable ...
research
∙
12/07/2022
LSVL: Large-scale season-invariant visual localization for UAVs
Localization of autonomous unmanned aerial vehicles (UAVs) relies heavil...
research
∙
08/23/2022
Generating people flow from architecture of real unseen environments
Mapping people dynamics is a crucial skill, because it enables robots to...
research
∙
10/05/2021
Season-invariant GNSS-denied visual localization for UAVs
Knowing the position and orientation of an UAV without GNSS is a critica...
research
∙
03/26/2021
GNSS-denied geolocalization of UAVs by visual matching of onboard camera images with orthophotos
Localization of low-cost unmanned aerial vehicles(UAVs) often relies on ...
research
∙
03/12/2021
Augmented Environment Representations with Complete Object Models
While 2D occupancy maps commonly used in mobile robotics enable safe nav...
research
∙
03/08/2021
DDGC: Generative Deep Dexterous Grasping in Clutter
Recent advances in multi-fingered robotic grasping have enabled fast 6-D...
research
∙
12/17/2020
Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps
While there exists a large number of methods for manipulating rigid obje...
research
∙
11/13/2020
Online Object-Oriented Semantic Mapping and Map Updating with Modular Representations
Creating and maintaining an accurate representation of the environment i...
research
∙
10/16/2020
Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements
Accurately modeling local surface properties of objects is crucial to ma...
research
∙
08/06/2020
Notes on the Behavior of MC Dropout
Among the various options to estimate uncertainty in deep neural network...
research
∙
05/22/2020
On the Potential of Smarter Multi-layer Maps
The most common way for robots to handle environmental information is by...
research
∙
09/20/2019
Hypermap Mapping Framework and its Application to Autonomous Semantic Exploration
Modern intelligent and autonomous robotic applications often require rob...
research
∙
09/15/2019
Beyond Top-Grasps Through Scene Completion
Current end-to-end grasp planning methods propose grasps in the order of...
research
∙
03/02/2019
Robust Grasp Planning Over Uncertain Shape Completions
We present a method for planning robust grasps over uncertain shape comp...
research
∙
09/13/2018
Deep Network Uncertainty Maps for Indoor Navigation
Estimating the uncertainty of predictions is a crucial ability for robot...
research
∙
05/31/2018
Hallucinating robots: Inferring obstacle distances from partial laser measurements
Many mobile robots rely on 2D laser scanners for localization, mapping, ...
research
∙
02/27/2018
