6 citations · 6 across the 7 of their papers we have counts for
7 papers
VBM-NET: Visual Base Pose Learning for Mobile Manipulation using Equivariant TransporterNet and GNNs
Lakshadeep Naik, Adam Fischer, Daniel Duberg +1
In Mobile Manipulation, selecting an optimal mobile base pose is essential for successful object grasping. Previous works have addressed this problem either through classical plann…
DUFOMap: Efficient Dynamic Awareness Mapping
Daniel Duberg, Qingwen Zhang, MingKai Jia +1
The dynamic nature of the real world is one of the main challenges in robotics. The first step in dealing with it is to detect which parts of the world are dynamic. A typical bench…
Robust MITL planning under uncertain navigation times
Alexis Linard, Anna Gautier, Daniel Duberg +1
In environments like offices, the duration of a robot's navigation between two locations may vary over time. For instance, reaching a kitchen may take more time during lunchtime si…
A Dynamic Points Removal Benchmark in Point Cloud Maps
Qingwen Zhang, Daniel Duberg, Ruoyu Geng +3
In the field of robotics, the point cloud has become an essential map representation. From the perspective of downstream tasks like localization and global path planning, points co…
SLICT: Multi-input Multi-scale Surfel-Based Lidar-Inertial Continuous-Time Odometry and Mapping
Thien-Minh Nguyen, Daniel Duberg, Patric Jensfelt +2
While feature association to a global map has significant benefits, to keep the computations from growing exponentially, most lidar-based odometry and mapping methods opt to associ…
Semantic 3D Grid Maps for Autonomous Driving
Ajinkya Khoche, Maciej K Wozniak, Daniel Duberg +1
Maps play a key role in rapidly developing area of autonomous driving. We survey the literature for different map representations and find that while the world is three-dimensional…
UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown
Daniel Duberg, Patric Jensfelt
3D models are an essential part of many robotic applications. In applications where the environment is unknown a-priori, or where only a part of the environment is known, it is imp…