Shahram Etemadi

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In this paper, the agent velocity in robotic swarm was determined by using particle swarm optimization (PSO) to maximize the robotic swarm coordination velocity. A swarm as supposed here is homogenous and includes at least two members. Motion and behavior of swarm members are mostly result of two different phenomena: interactive mutual forces and influence(More)
In this paper, we consider a control strategy of multi-robot systems, or simply, swarms, based on emotional control technique. First, we briefly discuss a “kinematic” swarm model in n-dimensional space introduced in an earlier paper. In that model, motion of every swarm member is governed by predefined inter-individual interactions.(More)
This paper presents an analytical study of swarm motion in a quasi static environment, in which, motion of each member is being affected by interactive forces and agents. Interactive effects on each member could be attractive or repulsive due to being far from or close to other members respectively. An agent also can be attractive or repulsive. The method(More)
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