UAVs equipped with various sensors offer a promising approach for enhancing orchard
management efficiency. Up-close sensing enables precise crop localization and map** …

With the increasing need for multi-robot for exploring the unknown region in a challenging
environment, efficient collaborative exploration strategies are needed for achieving such …

As autonomous collaborative robots are more widely used in work environments alongside
humans it is of great importance to facilitate the communication between people and robotic …

Whether BMW, VW or Google: Almost all leading automobile and technology companies are
researching and develo** the multi-stage autonomy of vehicles, which enables a …

While engaging with the unfolding revolution in autonomous driving, a challenge presents
itself, how can we effectively raise awareness within society about this transformative trend …

In the past few years, due to the growth of the open-source community and the popularity of
perceptual computing resources, the ROS (Robotic Operating System) Ecosystem has been …

Context Robotic systems are known to perform computation-intensive tasks with limited
computational resources and battery life. Such systems might benefit from offloading heavy …

The increasing trend towards a higher level of autonomy in unmanned aerial systems
(UASs) had led to lower requirements for control by the human operator and to an …

Achieving autonomous localization is key to robot navigation technology. In comparison to
the outdoors, the indoor environment often has problems such as insufficient features and …

In this work, we extend a recently proposed methodology to construct artificial vector fields
for robot navigation in n-dimensional spaces to track and circulate time-varying curves. Now …