Accurately assessing the potential value of new sensor observations is a...
Crop monitoring is crucial for maximizing agricultural productivity and
...
Autonomous robotic tasks require actively perceiving the environment to
...
Efficient aerial data collection is important in many remote sensing
app...
Unmanned aerial vehicles (UAVs) are crucial for aerial mapping and gener...
Safe motion planning in robotics requires planning into space which has ...
Semantic segmentation of aerial imagery is an important tool for mapping...
Efficient data collection methods play a major role in helping us better...
Unmanned aerial vehicles (UAVs) are rapidly gaining popularity in a vari...
Aerial robots are increasingly being utilized for a wide range of
enviro...
In this paper, we address the problem of adaptive path planning for accu...
In robotic applications, a key requirement for safe and efficient motion...
We present an efficient, elastic 3D LiDAR reconstruction framework which...
With the aim of bridging the gap between high quality reconstruction and...
Aerial manipulation aims at combining the manoeuvrability of aerial vehi...
The application of autonomous robots in agriculture is gaining more and ...
Unmanned aerial vehicles combined with computer vision systems, such as
...
Target search with unmanned aerial vehicles (UAVs) is relevant problem t...
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...
We present a novel weed segmentation and mapping framework that processe...
Horticultural enterprises are becoming more sophisticated as the range o...
Many robotic applications, such as search-and-rescue, require multiple a...
Selective weed treatment is a critical step in autonomous crop managemen...