The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL),
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …

No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …

In recent decades, RRT* algorithm has attracted much attention because of its asymptotic
optimization. However, the RRT* algorithm still suffers from slow convergence rate and large …

Nowadays, numerous companies and industries introduce recycling processes in their
production, aiming to increase the sustainable use of the planet's natural resources …

This paper presents the rigorous study of mobile robot navigation techniques used so far.
The step by step investigations of classical and reactive approaches are made here to …

Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …

The most important research area in robotics is navigation algorithms. Robot path planning
(RPP) is the process of choosing the best route for a mobile robot to take before it moves …