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 …

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 …

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 …

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 …

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 paper proposed a triangular inequality-based rewiring method for the rapidly exploring
random tree (RRT)-Connect robot path-planning algorithm that guarantees the planning …

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 …

Path planning is a critical issue for unmanned surface vehicles (USVs), and an effective path-
planning algorithm enables USVs to accomplish the mission. In this paper, a novel algorithm …

The adjusting of autonomous vehicles (AVs) steering angle represents a challenging issue
in the intelligent vehicular applications. Among different control strategies, the model …