Humanoid robots, unmanned rovers, entertainment pets, drones, and so on are great
examples of mobile robots. They can be distinguished from other robots by their ability to …

Mobile robotics research is an emerging area since last three decades. The present
research on mobile robotics addresses the problems which are mainly on path planning …

Autonomous navigation of a robot is a promising research domain due to its extensive
applications. The navigation consists of four essential requirements known as perception …

This paper proposed a new methodology to determine the optimal trajectory of the path for
multi-robot in a clutter environment using hybridization of improved particle swarm …

Mobile robots are increasingly used in automated industrial environments. There are also
other applications like planet exploration, surveillance, landmine detection, etc. In all these …

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) …

As a challenging optimization problem, path planning for mobile robot refers to searching an
optimal or near-optimal path under different types of constrains in complex environments. In …

This study proposes a new approach for solving the problem of autonomous movement of
robots in environments that contain both static and dynamic obstacles. The purpose of this …

This paper reviews the major contributions to the Motion Planning (MP) field throughout a 35-
year period, from classic approaches to heuristic algorithms. Due to the NP-Hardness of the …

Particle swarm optimisation (PSO) has been enormously successful. Within little more than a
decade hundreds of papers have reported successful applications of PSO. In fact, there are …