Camera localization in 3D LiDAR maps has gained increasing attention due...
Visual Place Recognition (VPR) is vital for robot localization. To date,...
This work proposes an autonomous multi-robot exploration pipeline that
c...
Developing and testing novel control and motion planning algorithms for
...
Using Unmanned Aerial Vehicles (UAVs) to perform high-altitude manipulat...
Time-optimal path planning in high winds for a turning rate constrained ...
This workshop paper presents the challenges we encountered when simulati...
The fast-growing demand for fully autonomous aerial operations in shared...
The process of designing costmaps for off-road driving tasks is often a
...
This paper presents the ARCAD simulator for the rapid development of Unm...
Visual localization plays an important role for intelligent robots and
a...
Visual object tracking is an essential capability of intelligent robots....
We propose developing an integrated system to keep autonomous unmanned
a...
Semi-supervised learning (SSL) can reduce the need for large labelled
da...
Wide-angle cameras are uniquely positioned for mobile robots, by virtue ...
We present a method to synthesize novel views from a single 360^∘
panora...
Seamlessly integrating rules in Learning-from-Demonstrations (LfD) polic...
Estimating terrain traversability in off-road environments requires reas...
Multi-agent exploration of a bounded 3D environment with unknown initial...
Learning-based visual odometry (VO) algorithms achieve remarkable perfor...
The visual camera is an attractive device in beyond visual line of sight...
Place recognition is the fundamental module that can assist Simultaneous...
We present BioSLAM, a lifelong SLAM framework for learning various new
a...
This paper reports on the state of the art in underground SLAM by discus...
We present the ALTO dataset, a vision-focused dataset for the developmen...
We present AutoMerge, a LiDAR data processing framework for assembling a...
LiDAR-based localization approach is a fundamental module for large-scal...
Offering vertical take-off and landing (VTOL) capabilities and the abili...
Race cars are routinely driven to the edge of their handling limits in
d...
For long-term autonomy, most place recognition methods are mainly evalua...
Deformable linear objects (e.g., cables, ropes, and threads) commonly ap...
Providing both the vertical take-off and landing capabilities and the ab...
We present TartanDrive, a large scale dataset for learning dynamics mode...
Informative path planning is an important and challenging problem in rob...
Recent years have witnessed the increasing application of place recognit...
Unsupervised Domain Adaptation (UDA) aims to adapt models trained on a s...
Safe navigation in real-time is challenging because engineers need to wo...
Pilots operating aircraft in un-towered airspace rely on their situation...
The fusion of multi-modal sensors has become increasingly popular in
aut...
Efficiency and robustness are the essential criteria for the visual-iner...
In Simultaneous Localization And Mapping (SLAM) problems, high-level
lan...
3D single object tracking is a key issue for autonomous following robot,...
Aerial vehicles are revolutionizing applications that require capturing ...
For robotics systems to be used in high risk, real-world situations, the...
Energy management is a critical aspect of risk assessment for Uncrewed A...
One of the main obstacles to 3D semantic segmentation is the significant...
We present a method for localizing a single camera with respect to a poi...
This paper presents a fundamental algorithm, called VDB-EDT, for Euclide...
We propose Super Odometry, a high-precision multi-modal sensor fusion
fr...
We present a method to autonomously land an Unmanned Aerial Vehicle on a...