Sentence examples for multiple robot path from inspiring English sources

The problem formulation for multiple robot path planning is provided in this section.

The flowchart for multiple robot path planning using D2PSO is presented in Fig. 2.

In addition, the multiple robot path planning problem becomes more and more complex.

The multiple robot path planning algorithm is implemented in a simulated environment.

Many approaches have been proposed for solving multiple robot path planning problems.

Formulation of the problem for multiple robot path planning has been elaborated in "Problem formulation for multiple robot navigation" section.

Experimental results show that our approach performs better in escaping local optimum and proves that applying D2PSO to multiple robots path planning problem is practical and efficient for large number of robots in environments with variable obstacles.

Coordinating the path of multiple robots along assigned paths is a computationally hard problem with great potential for applications.

Das [19] proposed a new methodology to determine the optimal trajectory of the path for multiple robot in a clutter environment using hybridization of improved particle swarm optimization (IPSO) with an improved gravitational search algorithm (IGSA).

The problem of multiple robot motion planning focuses on computation of paths of different robots such that each robot has an optimal path, and so the overall path of all the robots combined is optimal.

Issues like static obstacle avoidance or mobile obstacle avoidance, known or unknown worlds, structured or unstructured environments and single or multiple robot motion are the main study cases in path planning.