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 …

Recent years have seen a dramatic rise in the popularity of autonomous mobile robots
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …

In this paper, a review on the three most important communication techniques (ground,
aerial, and underwater vehicles) has been presented that throws light on trajectory planning …

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 …

Autonomous mobile robot navigation is one of the most emerging areas of research by using
swarm intelligence. Path planning and obstacle avoidance are most researched current …

Mobile robots have been widely used in various sectors in the last decade. A mobile robot
could autonomously navigate in any environment, both static and dynamic. As a result …

This paper presents an interval multi-objective path planning (PP) scheme for patrol robot in
nuclear power plant. The purpose of this PP scheme is to find collision-free paths with the …

Mobile robots have been making a significant contribution to the advancement of many
sectors including automation of mining, space, surveillance, military, health, agriculture and …

This paper presents a new quantum-behaved particle swarm optimization (QPSO) algorithm
for the trajectory planning task of mobile robotic vehicles in static and dynamic environments …

Based on the vigorous development of global renewable energy, pumped storage hydro
(PSH) has been widely used. As PSH needs to undergo multiple modes conversion, its grid …