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 …

For the complex multi-ship encounter scenarios, this article proposes a dynamic collision
avoidance path planning algorithm based on the A-star algorithm and ship navigation rules …

The honey badger algorithm (HBA) is a meta-heuristic optimization algorithm that simulates
the foraging behavior of honey badgers. Since the algorithm is prone to premature …

This paper presents an improved particle swarm optimization (PSO) algorithm to optimize
the coefficients of the proportional integral derivative (PID) controller for trajectory tracking …

As path planning is an NP-hard problem it can be solved by multi-objective algorithms. In
this article, we propose a multi-objective path planning algorithm which consists of three …

In this paper, a bioinspired path planning approach for mobile robots is proposed. The
approach is based on the sparrow search algorithm, which is an intelligent optimization …

Planning an optimal path for a mobile robot is a complicated problem as it allows the mobile
robots to navigate autonomously by following the safest and shortest path between starting …

This review article offers an in-depth analysis of cooperative motion planning and control in
aerial-ground autonomous systems, emphasizing their methods and applications. It explores …

In fact, optimizing path within short computation time still remains a major challenge for
mobile robotics applications. In path planning and obstacles avoidance, Q-Learning (QL) …

Although many studies exist on mobile robot path planning, the disadvantages of complex
algorithms and many path nodes in logistics warehouses and manufacturing workshops are …