2010 International Conference on Industrial Electronics, Control and Robotics 2010
DOI: 10.1109/iecr.2010.5720122
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Collision avoidance with obstacles in flocking for multi agent systems

Abstract: Multi agent system is a system consist of multiple interacting agents. These systems tend to select the best solution for their problems. They can be used in different tasks which are hard for an individual or even a complex system to do. One of the most common algorithms which are used in multi agent systems is flocking. Here we introduce a theorem that multi agent systems could flock in environments with fixed obstacles without any collision between agents and obstacles. We use lyapunov theory and prior algo… Show more

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Cited by 11 publications
(6 citation statements)
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“…In Olfati-Saber's work and in other studies, [27][28][29] they mainly focus on obstacles of spheres, infinite walls, or point-obstacles. These assumptions about obstacles cannot be accepted in either man-made or natural environment.…”
Section: Flocking With Obstacle Avoidance Umentioning
confidence: 99%
“…In Olfati-Saber's work and in other studies, [27][28][29] they mainly focus on obstacles of spheres, infinite walls, or point-obstacles. These assumptions about obstacles cannot be accepted in either man-made or natural environment.…”
Section: Flocking With Obstacle Avoidance Umentioning
confidence: 99%
“…Formation control problem in multi-agent systems (MAS) has received much attention in the last decade because of its growing range of applications, such as exploration, rescue tasks and so forth. [1][2][3][4] One of the main issues in formation control is the collision-free strategy design, regarding not only collisions among agents but also against environmental obstacles. [5][6][7] Several solutions to this problem have been proposed.…”
Section: Introductionmentioning
confidence: 99%
“…During the last years, formation control in multiagent systems has received much attention due to the wide range of applications in which they can be used as exploration, rescue tasks, toxic residues cleaning, and so forth, [1,2]. A very important issue in formation control is the collision avoidance problem, with either other agents or obstacles [3]. If the formation control algorithms are designed in a totally centralized way, that is, with information exchange among all the agents, the computational load can increase seriously.…”
Section: Introductionmentioning
confidence: 99%