Contrary to the stunning feats observed in birds of prey, aerial manipul...
We present VERF, a collection of two methods (VERF-PnP and VERF-Light) f...
3D spatial perception is the problem of building and maintaining an
acti...
Safety and performance are key enablers for autonomous driving: on the o...
3D scene graphs have recently emerged as an expressive high-level map
re...
Localization and mapping are key capabilities for self-driving vehicles....
This paper revisits Kimera-Multi, a distributed multi-robot Simultaneous...
We study landmark-based SLAM with unknown data association: our robot
na...
We present an experimental analysis on the use of a camera-based approac...
Real-world robotics applications demand object pose estimation methods t...
We propose a novel geometric and photometric 3D mapping pipeline for acc...
We present a novel method to reconstruct 3D scenes from images by levera...
We present Loc-NeRF, a real-time vision-based robot localization approac...
For a multi-robot team that collaboratively explores an unknown environm...
Semantic 3D scene understanding is a problem of critical importance in
r...
Outlier-robust estimation is a fundamental problem and has been extensiv...
This paper reports on the state of the art in underground SLAM by discus...
Active Simultaneous Localization and Mapping (SLAM) is the problem of
pl...
We consider a category-level perception problem, where one is given 2D o...
We consider an object pose estimation and model fitting problem, where -...
Semantic 3D scene understanding is a problem of critical importance in
r...
This paper reports on the development, execution, and open-sourcing of a...
Search and rescue with a team of heterogeneous mobile robots in unknown ...
Multi-robot SLAM systems in GPS-denied environments require loop closure...
Lidar odometry has attracted considerable attention as a robust localiza...
This paper investigates runtime monitoring of perception systems. Percep...
3D scene graphs have recently emerged as a powerful high-level represent...
Robustness is key to engineering, automation, and science as a whole.
Ho...
We propose the first general and scalable framework to design certifiabl...
We investigate the problem of co-designing computation and communication...
Meshes are commonly used as 3D maps since they encode the topology of th...
Representations are crucial for a robot to learn effective navigation
po...
This paper presents Kimera-Multi, the first multi-robot system that (i) ...
We consider solving high-order semidefinite programming (SDP) relaxation...
Graph Neural Networks (GNNs) have emerged as a flexible and powerful app...
We consider a category-level perception problem, where one is given 3D s...
This paper presents and discusses algorithms, hardware, and software
arc...
Rigid grippers used in existing aerial manipulators require precise
posi...
We present self-supervised geometric perception (SGP), the first general...
State estimation for robots navigating in GPS-denied and
perceptually-de...
Humans are able to form a complex mental model of the environment they m...
We present the first fully distributed multi-robot system for dense
metr...
Many estimation problems in robotics, computer vision, and learning requ...
Recent works in geometric deep learning have introduced neural networks ...
Shonan Rotation Averaging is a fast, simple, and elegant rotation averag...
Nonlinear estimation in robotics and vision is typically plagued with
ou...
We propose a general and practical framework to design certifiable algor...
Perception is a critical component of high-integrity applications of rob...
Several autonomy pipelines now have core components that rely on deep
le...
Manipulation and grasping with unmanned aerial vehicles (UAVs) currently...