Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …

Place recognition is a key module in robotic navigation. The existing line of studies mostly
focuses on visual place recognition to recognize previously visited places solely based on …

Simultaneous localization and map** (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …

Robust object recognition is a crucial skill for robots operating autonomously in real world
environments. Range sensors such as LiDAR and RGBD cameras are increasingly found in …

Birds-Eye-View (BEV) perception can naturally represent natural scenes, which is conducive
to multimodal data processing and fusion. BEV data contain rich semantics and integrate the …

We present a system for the detection of small and potentially obscured obstacles in
vegetated terrain. The key novelty of this system is the coupling of a volumetric occupancy …

We present a multi-robot system for GPS-denied search and rescue under the forest canopy.
Forests are particularly challenging environments for collaborative exploration and map** …

In this paper, we consider the problem of autonomous navigation with a micro aerial vehicle
(MAV) in indoor environments. In particular, we are interested in autonomous navigation in …