This paper proposed a novel approach to determine the optimal trajectory of the path for
multi-robots in a clutter environment using hybridization of improved particle swarm …

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 …

The highlight of this paper is to propose an innovative approach to compute an optimal
collision free trajectory path for each robot in a known and complex environment. The …

Multiple robot systems have become a major study concern in the field of robotic research.
Their control becomes unreliable and even infeasible if the number of robots increases. In …

This paper highlights a new approach to generate an optimal collision-free trajectory path for
each robot in a cluttered and unknown workspace using enhanced particle swarm …

This paper proposes a new methodology to optimize trajectory of the path for multi-robots
using improved gravitational search algorithm (IGSA) in a dynamic environment. GSA is …

Due to the widespread use of autonomous mobile robots, the path planning of mobile robots
take great importance in the research field. This paper aims at developing a path planning …

The main aim of this paper is to solve a path planning problem for an autonomous mobile
robot in static and dynamic environments. The problem is solved by determining the collision …

This paper presents a new quantum-behaved particle swarm optimization (QPSO) algorithm
for the trajectory planning task of mobile robotic vehicles in static and dynamic environments …

Researchers have conducted studies using various metaheuristic algorithms for multi-robot
path planning recently. One of these algorithms, sine–cosine algorithm (SCA) cannot …