Previous work has demonstrated the feasibility of using process-oriented programming to implement simple subsumption architectures for robot control. However, the utility and scalability of process-based subsumption architectures for more complex tasks and those involving multiple robots has not been proven. We report our experience of applying these techniques to the implementation of a standa...

Understanding the effect of individual parameters on the collective performance of swarm robotic systems in order to design and optimise individual robot behaviours is a significant challenge. This paper presents a probabilistic model of a swarm foraging task. A number of difference equations are derived to describe the probabilistic finite state machine for the task at a macroscopic level. A g...

scheduling is an important subject of production and operations management area. in flow-shop scheduling, the objective is to obtain a sequence of jobs which when processed in a fixed order of machines, will optimize some well defined criteria. the concept of transportation time is very important in scheduling. transportation can be done by robots. in situations that robots are used to transpor...

Natural environments are characterized by variable wind that can pose significant challenges for flying animals and robots. However, our understanding of the flow conditions that animals experience outdoors and how these impact flight performance remains limited. Here, we combine laboratory and field experiments to characterize wind conditions encountered by foraging bumblebees in outdoor envir...

Swarm robotics is the study of large groups of relatively homogeneous robots and their task solving capabilities. The robots of a swarm robotic system are relatively simple and incapable when compared to the tasks that they are expected to accomplished [10]. Thus, it is important to have enough units and a distributed control law that is effective. Because the individual behaviour of social ins...

in the deregulated power systems, transmission congestion is one of the significant and main problems of the electrical networks which can cause incremental cost in the energy. this problem has resulted to new challenging issues in different parts of power systems which there was not in the traditional systems or at least had very little importance. transmission congestion happens when the maxi...

in this paper, an intelligent controller is applied to control omni-directional robots motion. first, the dynamics of the three wheel robots, as a nonlinear plant with considerable uncertainties, is identified using an efficient algorithm of training, named lolimot. then, an intelligent controller based on brain emotional learning algorithm is applied to the identified model. this emotional lea...

The kinematics and dynamics of two industrial cooperating robots are presented in this paper. The NOC (natural orthogonal complement) method is used to derive the dynamical equations for the motion of two cooperating robots. The joint torques of the two robots are determined based on the optimization techniques in order to obtain unique solution for joint torques. To this end, minimizing the cr...

Background Swarm intelligence provides the design and implementation of systems composed of many simple individuals who interact locally and produce remarkable behavior as a whole (Dudek et al. 1996). It provides multiple benefits such as robustness where the performance of the system is not affected significantly with the failure of individuals, simplicity of computational and perceptual capab...

due to their advantages, omni-directional mobile robots have found many applications especially in robotic soccer competitions. however, omni directional navigation system, omni-vision system and kicking mechanism in such mobile robots have not ever been combined. this situation brings the idea of a robot with no head direction into existence, a comprehensive omni directional mobile robot. such...