Modeling Self-Organized Aggregation in Swarm Robotic Systems

Bayindir, Levent
Şahin, Erol
In this paper, we propose a model for the self-organized aggregation of a swarm of mobile robots. Specifically, we use a simple probabilistic finite state automata (PFSA) based aggregation behavior and analyze its performance using both a point-mass and a physics-based simulator and compare the results against the predictions of the model. The results show that the probabilistic model predictions match simulation results and PFSA-based aggregation behaviors with fixed probabilities are unable to generate scalable aggregations in low robot densities. Moreover, we show that the use of a leave probability that is inversely proportional to the square of the neighbor count (as an estimate of aggregate size) does not improve the scalability of the behavior.


Evolving aggregation behaviors in a swarm of robots
Trianni, V; Gross, R; Labella, TH; Şahin, Erol; Dorigo, M (2003-01-01)
In this paper, we study aggregation in a swarm of simple robots, called s-bots, having the capability to self-organize and self-assemble to form a robotic system, called a swarm-bot. The aggregation process, observed in many biological systems, is of fundamental importance since it is the prerequisite for other forms of cooperation that involve self-organization and self-assembling. We consider the problem of defining the control system for the swarm-bot using artificial evolution. The results obtained in a...
From primitive behaviors to goal-directed behavior using affordances
Doǧar, Mehmet R.; Çakmak, Maya; Uǧur, Emre; Şahin, Erol (2007-12-01)
In this paper, we studied how a mobile robot equipped with a 3D laser scanner can start from primitive behaviors and learn to use them to achieve goal-directed behaviors. For this purpose, we propose a learning scheme that is based on the concept of "affordances", where the robot first learns about the different kind of effects it can create in the environment and then links these effects with the perception of the initial environment and the executed primitive behavior. It uses these learned relations to c...
The learning and use of traversability affordance using range images on a mobile robot
Ugur, Emre; Dogar, Mehmet R.; Cakmak, Maya; Şahin, Erol (2007-04-14)
We are interested in how the concept of affordances can affect our view to autonomous robot control, and how the results obtained from autonomous robotics can be reflected back upon the discussion and studies on the concept of affordances. In this paper, we studied how a mobile robot, equipped with a 3D laser scanner, can learn to perceive the traversability affordance and use it to wander in a room filled with spheres, cylinders and boxes. The results showed that after learning, the robot can wander around...
Bilaloğlu, Cem; Turgut, Ali Emre; Şahin, Erol; Department of Mechanical Engineering (2022-1-13)
This thesis introduces Kobot -- an extensible heterogeneous swarm robot platform. Kobot platform uses a common hardware and software architecture based on off-the-shelf components, 3-D printing, and open-source software that evolves with state of the art. Robots built using this common architecture range from wheeled to flying robots and formed a heterogeneous swarm. The common architecture enabled developing and testing systems for the lightweight flying robots on resourceful ground robots. As a result, Ko...
Moving part recognition and automatic pick and place using an industrial robot
Konukseven, Erhan İlhan (1996-01-01)
Robotics research continuously seeks to improve productivity in manufacturing automation. With the recent advances in the areas of vision and sensing, robots have become a major element of today's industrial world. They have been beneficial in replacing humans not only in tasks at which robots are more efficient but also in those that humans find undesirable because they are strenuous, boring, difficult, or hazardous. IF. the last several yeats, more and more efforts have been put in the integration of mult...
Citation Formats
L. Bayindir and E. Şahin, “Modeling Self-Organized Aggregation in Swarm Robotic Systems,” 2009, Accessed: 00, 2020. [Online]. Available: