We consider the problem of learning error covariance matrices for roboti...
We consider the problem of learning observation models for robot state
e...
This paper unifies the theory of consistent-set maximization for robust
...
We present MidasTouch, a tactile perception system for online global
loc...
Wide-angle cameras are uniquely positioned for mobile robots, by virtue ...
Having accurate localization capabilities is one of the fundamental
requ...
This paper presents a method for robust optimization for online incremen...
Underwater robots typically rely on acoustic sensors like sonar to perce...
We present a technique for dense 3D reconstruction of objects using an
i...
This paper presents a method for the robust selection of measurements in...
We address the problem of map sparsification for long-term visual
locali...
Spinning LiDAR data are prevalent for 3D perception tasks, yet its
cylin...
We address the problem of tracking 3D object poses from touch during in-...
We present ASH, a modern and high-performance framework for parallel spa...
Knowledge of 3-D object shape is of great importance to robot manipulati...
We address the problem of learning observation models end-to-end for
est...
There has been exciting recent progress in using radar as a sensor for r...
We address the problem of robot localization using ground penetrating ra...
We address the problem of estimating object pose from touch during
manip...
Tactile perception is central to robot manipulation in unstructured
envi...
We present a fast, scalable, and accurate Simultaneous Localization and
...
This paper presents an efficient algorithm for the least-squares problem...
Estimating pose from given 3D correspondences, including point-to-point,...
We present a novel unsupervised learning framework for single view depth...
In this paper, we present RKD-SLAM, a robust keyframe-based dense SLAM
a...
Existing simultaneous localization and mapping (SLAM) algorithms are not...