Advances in Unmanned Aerial Vehicles (UAVs), also known as drones, offer unprecedented
opportunities to boost a wide array of large-scale Internet of Things (IoT) applications …

Goal-conditioned policies for robotic navigation can be trained on large, unannotated
datasets, providing for good generalization to real-world settings. However, particularly in …

Abstract Intelligent Transportation Systems (ITS) help improve the ever‐increasing vehicular
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …

Despite the soaring use of convolutional neural networks (CNNs) in mobile applications,
uniformly sustaining high-performance inference on mobile has been elusive due to the …

Path planning is one of the most essential part in autonomous navigation. Most existing
works suppose that the environment is static and fixed. However, path planning is widely …

Abstract Operating Micro Aerial Vehicles (MAVs) in subterranean environments is becoming
more and more relevant in the field of aerial robotics. Despite the large spectrum of …

Although mission-critical applications require the use of deep neural networks (DNNs), their
continuous execution at mobile devices results in a significant increase in energy …

Unmanned aerial vehicles (UAVs) have drawn increased research interest in recent years,
leading to a vast number of applications, such as, terrain exploration, disaster assistance …

Drones are unmanned aerial vehicles (UAV) utilized for a broad range of functions,
including delivery, aerial surveillance, traffic monitoring, architecture monitoring, and even …

Convolutional neural networks (CNNs) have recently become the state-of-the-art in a
diversity of AI tasks. Despite their popularity, CNN inference still comes at a high …