Accurate 3D sensing of suturing thread is a challenging problem in autom...
Volumetric maps are widely used in robotics due to their desirable prope...
From construction materials, such as sand or asphalt, to kitchen ingredi...
Recently, groundbreaking results have been presented on open-vocabulary
...
Precise markings for drilling and assembly are crucial, laborious
constr...
In this paper, we present a novel method for using Riemannian Motion Pol...
The exploration of large-scale unknown environments can benefit from the...
Semantic segmentation for robotic systems can enable a wide range of
app...
Methods have recently been proposed that densely segment 3D volumes into...
Interactions with articulated objects are a challenging but important ta...
Picking a specific object from clutter is an essential component of many...
The recent development of novel aerial vehicles capable of physically
in...
Of all public assets, road infrastructure tops the list. Roads are cruci...
This work investigates the use of Neural implicit representations,
speci...
In this paper, we deal with the problem of creating globally consistent ...
Estimation of a dynamical system's latent state subject to sensor noise ...
Creating computer vision datasets requires careful planning and lots of ...
This work addresses the problem of predicting the motion trajectories of...
Advances in differentiable numerical integrators have enabled the use of...
Quantification of uncertainty in point cloud matching is critical in man...
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...
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...
Critical for the coexistence of humans and robots in dynamic environment...
Today's methods of programming mobile manipulation systems' behavior for...
Exploration is a fundamental problem in robot autonomy. A major limitati...
Overactuated omnidirectional flying vehicles are capable of generating f...
Accurate uncertainty estimation associated with the pose transformation
...
With humankind facing new and increasingly large-scale challenges in the...
Accurate simulation of complex physical systems enables the development,...
Balancing exploration and exploitation is a fundamental part of reinforc...
Being able to safely operate for extended periods of time in dynamic
env...
The ability to plan informative paths online is essential to robot auton...
Sensors producing 3D point clouds such as 3D laser scanners and RGB-D ca...
Understanding the dynamics of an environment, such as the movement of hu...
We present a framework for learning to plan hierarchically in domains wi...
Bayesian optimisation (BO) has been a successful approach to optimise
fu...
Autonomous exploration is a complex task where the robot moves through a...
In the automation of many kinds of processes, the observable outcome can...
Adaptability is central to autonomy. Intuitively, for high-dimensional
l...
In outdoor environments, mobile robots are required to navigate through
...
Robots typically possess sensors of different modalities, such as colour...
Online learning has become crucial to many problems in machine learning....
This paper explores a pragmatic approach to multiple object tracking whe...