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 …

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 …

Nature-inspired algorithms, especially those based on swarm intelligence, have been
successfully applied to solve a variety of optimization problems in real-world applications …

In this study, the inverse kinematics solution of a 7-DOF redundant robot manipulator was
performed by using firefly algorithm that is a swarm optimization technique. In order to show …

Firefly algorithm is a nature-inspired optimization algorithm and there have been significant
developments since its appearance about 10 years ago. This chapter summarizes the latest …

Purpose This paper aims to incorporate a hybridized advanced sine-cosine algorithm
(ASCA) and advanced ant colony optimization (AACO) technique for optimal path search …

The optimization of the operation of reservoirs is one of the complex problems in terms of
non-linear problems, large numbers of decision variables, and multiple constraints that are …

The solution of the inverse kinematics of mobile manipulators is a fundamental capability to
solve problems such as path planning, visual-guided motion, object grasping, and so on. In …