AI has received increased attention from the information systems (IS) research community in
recent years. There is, however, a growing concern that research on AI could experience a …

Today's supply chain is becoming complex and fragile. Hence, supply chain managers need
to create and unlock the value of the smart supply chain. A smart supply chain requires …

Optimal path planning avoiding obstacles is among the most attractive applications of
mobile robots (MRs) in both research and education. In this paper, an optimal collision-free …

This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …

The basic conditions for mobile robots to be autonomous are that the mobile robot localizes
itself in the environment and knows the geometric structure of the environment (map). After …

Unmanned aerial vehicles (UAV) are a suitable solution for monitoring growing cultures due
to the possibility of covering a large area and the necessity of periodic monitoring. In …

Unmanned air vehicles operate in highly dynamic and unknown environments where they
can encounter unexpected and unseen failures. In the presence of emergencies …

Existing mobile robots cannot complete some functions. To solve these problems, which
include autonomous learning in path planning, the slow convergence of path planning, and …

Unmanned aerial vehicles (UAVs) are playing an increasingly important role in people's
daily lives due to their low cost of operation, low requirements for ground support, high …

The paper puts forward an intelligent approach that deals with the computation of an optimal
path with collision avoidance for the stick-carrying twin moving from a pre-assumed start …