Walking independently is essential to maintaining our quality of life but safe locomotion
depends on perceiving hazards in the everyday environment. To address this problem, there …

Nanosize drones hold enormous potential to explore unknown and complex environments.
Their small size makes them agile and safe for operation close to humans and allows them …

Autonomous navigation of drones using computer vision has achieved promising
performance. Nano-sized drones based on edge computing platforms are lightweight …

Autonomously navigating robots need to perceive and interpret their surroundings.
Currently, cameras are among the most used sensors due to their high resolution and frame …

The drone technology field has received attention and witnessed numerous impressive
advancements that heralded substantial changes and opened new possibilities in different …

Perceiving and mapping the surroundings are essential for autonomous navigation in any
robotic platform. The algorithm class that enables accurate mapping while correcting the …

A major challenge in deploying the smallest of Micro Aerial Vehicle (MAV) platforms (≤ 100
g) is their inability to carry sensors that provide high-resolution metric depth information (eg …

The use of Unmanned Aerial Vehicles (UAVs) is rapidly increasing in applications ranging
from surveillance and first-aid missions to industrial automation involving cooperation with …

This paper proposes a novel approach for indoor robot localization that leverages a fusion of
information from single-chip infrared (Time-of-Flight) and radar sensors. The aim of our …

Deep Learning algorithms and models greatly benefit from the release of large-scale
datasets, also including synthetically generated data, when real-life data is scarce …