In this paper, a membrane evolutionary artificial potential field (memEAPF) approach for
solving the mobile robot path planning problem is proposed, which combines membrane …

Obstacle avoidance is one of the main interests regarding path planning. In many situations
(mostly those regarding applications in urban environments), the obstacles to be avoided …

The artificial potential field approach is an efficient path planning method. However, to deal
with the local-stable-point problem in complex environments, it needs to modify the potential …

This paper presents the computation of feasible paths for mobile robots in known and
unknown environments using a QAPF learning algorithm. Q-learning is a reinforcement …

Most conventional path generation algorithms search for an optimal path that avoids
collisions with obstacles under the constraint of platforms' kino-dynamics. These …

A hybrid path planning algorithm based on membrane pseudo-bacterial potential field
(MemPBPF) is proposed. Membrane-inspired algorithms can reach an evolutionary …

In the shipbuilding industry, various workpieces are often produced in small batches. A new
program must be written for new workpiece to be processed, which leads to the inefficiency …

Planning of desired path direction for mobile robots is the art of finding a suitable and
efficient path without any collision. It may be classified based on the nature of obstacles …

An Informed RRT*(IRRT*) algorithm is one of the optimized versions of a Rapidly-exploring
Random Trees (RRT) algorithm which finds near-optimal solutions faster than RRT and …

This study focuses on existing drawbacks and inefficiencies of the available path planning
approaches within unknown dynamic environments. The drawbacks are the inability to plan …