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 …

The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

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 …

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 a new two-stage multi-swarm particle swarm optimizer (TMPSO), which
employs the multi-swarm method and takes two-stage different search strategies in the …

As technology advances, the places we have been able to explore have drastically
increased. However, the advancements in the underwater realm have staggered behind …

Underwater terrain aided navigation (TAN) has shown its potential to yield accurate
navigational results for long-term operation of underwater vehicles. Due to its independence …

Artificial potential field has long been proposed in the field of robot path planning. But the
well-known drawbacks like local minimal problem and low efficiency prevent its wide …

Exploration vehicles need accurate localization for performing tasks such as autonomous
navigation. Images captured from stereo cameras allow to estimate both the robot's motion …

Many algorithms of mobile robot SLAM (Simultaneous Localization and Mapping) have
been researched at present, however, the SLAM algorithm of mobile robot based on …