Integration of multiple sensor modalities and deep learning into Simulta...
Spatial computing – the ability of devices to be aware of their surround...
For robotic interaction in an environment shared with multiple agents,
a...
Introducing semantically meaningful objects to visual Simultaneous
Local...
Localization is an essential task for mobile autonomous robotic systems ...
The ability to simultaneously track and reconstruct multiple objects mov...
The evaluation of robot capabilities to navigate human crowds is essenti...
In this paper, we propose a robust end-to-end multi-modal pipeline for p...
This paper presents a novel on-line path planning method that enables ae...
To cope with the growing demand for transportation on the railway system...
We propose PHASER, a correspondence-free global registration of
sensor-c...
Model-based controllers on real robots require accurate knowledge of the...
General robot grasping in clutter requires the ability to synthesize gra...
In this paper, we present a semantic mapping approach with multiple
hypo...
Robot navigation is a task where reinforcement learning approaches are s...
Neural networks (NNs) are widely used for object recognition tasks in
au...
Today's methods of programming mobile manipulation systems' behavior for...
Exploration is a fundamental problem in robot autonomy. A major limitati...
Localization of a robotic system within a previously mapped environment ...
In this paper, we introduce IDOL, an optimization-based framework for IM...
Overactuated omnidirectional flying vehicles are capable of generating f...
Globally consistent dense maps are a key requirement for long-term robot...
With humankind facing new and increasingly large-scale challenges in the...
This paper presents and validates two approaches for active interaction ...
Omnidirectional micro aerial vehicles are a growing field of research, w...
Visually poor scenarios are one of the main sources of failure in visual...
Mobile manipulation is usually achieved by sequentially executing base a...
Robust and accurate pose estimation is crucial for many applications in
...
Object finding in clutter is a skill that requires both perception of th...
The application of autonomous robots in agriculture is gaining more and ...
Precisely estimating a robot's pose in a prior, global map is a fundamen...
The ability to plan informative paths online is essential to robot auton...
In this paper, we propose a visual-inertial framework able to efficientl...
In many applications, maintaining a consistent map of the environment is...
In this paper, we present a path planner for low-altitude terrain covera...
This paper presents an omnidirectional aerial manipulation platform for
...
Deep learning has enabled impressive progress in the accuracy of semanti...
Today, rail vehicle localization is based on infrastructure-side Balises...
To autonomously navigate and plan interactions in real-world environment...
Robotic platforms are emerging as a timely and cost-efficient tool for
e...
Changes in appearance is one of the main sources of failure in visual
lo...
External effects such as shocks and temperature variations affect the
ca...
We present a complete system for micro-aerial vehicle autonomous navigat...
The combination of aerial survey capabilities of Unmanned Aerial Vehicle...
Unmanned aerial vehicles (UAVs) represent a new frontier in a wide range...
We present a complete map management process for a visual localization s...
We present an online landmark selection method for distributed long-term...
Collecting 3D object datasets involves a large amount of manual work and...
We present a novel weed segmentation and mapping framework that processe...
The growing popularity of autonomous systems creates a need for reliable...