Sentence examples for multiple robot system from inspiring English sources

Darvishzadeh and Bhanu [14] present a framework to use a modified PSO MPSOO) algorithm in a multiple robot system for search task in real-world environments.

Multiple robot systems have become a major study concern in the field of robotic research.

This paper deals with control system design and implementation problems encountered in multiple robot systems.

The concept of multiple robot systems (MRS) began in the 1990s, in particular in works regrouping mobile robots, gathering objects [1] and robot colonies [2, 3].

Multiple robot systems are well known by the synchronization process and having better spatial distribution capability as compared to a single robot.

Although communication is one of the vital intelligent activities in the multiple robot systems, the increase of system agents bring overhead of communication load.

This paper proposed a novel approach to determine the optimal trajectory of the path for distributed multiple robots system using dynamic distributed particle swarm optimization (D2PSO), where each robot is considered to be a mobile, autonomous and physically independent agent.

Nakisa proposes a method based on the multi-swarm particle swarm optimization (PSO) with local search on the multiple robot search system to find a given target in a complex environment that contains static obstacles [16].

Contribution of this study is to realize such complicated tasks for multiple mobile robot systems in a real world.

This paper proposes a new communication and control architecture which improves the capability and the flexibility of multiple autonomous robot systems in performing a complicated task and coping with unpredictable situations.

In case of multiple robotic systems, the complexity of such systems increases proportionally with the number of robots, due to the fact that all robots must act as one unit to complete one composite task, such as retaining a specific formation.