Recently, groundbreaking results have been presented on open-vocabulary
...
Autonomous vehicles that operate in urban environments shall comply with...
Methods have recently been proposed that densely segment 3D volumes into...
In this paper we provide a practical demonstration of how the modularity...
Interactions with articulated objects are a challenging but important ta...
Picking a specific object from clutter is an essential component of many...
This paper tackles the problem of active planning to achieve cooperative...
Autonomously navigating a robot in everyday crowded spaces requires solv...
Current global localization descriptors in Simultaneous Localization and...
Creating computer vision datasets requires careful planning and lots of ...
Ground penetrating radar mounted on a small unmanned aerial vehicle (UAV...
Many mobile robotic platforms rely on an accurate knowledge of the extri...
This paper presents an online informative path planning approach for act...
General robot grasping in clutter requires the ability to synthesize gra...
Robot navigation is a task where reinforcement learning approaches are s...
Visual-inertial systems rely on precise calibrations of both camera
intr...
Today's methods of programming mobile manipulation systems' behavior for...
Decentralized multi-robot systems typically perform coordinated motion
p...
With humankind facing new and increasingly large-scale challenges in the...
This paper presents the perception, mapping, and planning pipeline
imple...
Mobile manipulation is usually achieved by sequentially executing base a...
In this paper, we present a path planner for low-altitude terrain covera...
To autonomously navigate and plan interactions in real-world environment...
Robotic platforms are emerging as a timely and cost-efficient tool for
e...
Unmanned aerial vehicles (UAVs) represent a new frontier in a wide range...