THE ESTIMATION OF SECURE CONDITION OF MULTI-AGENT ROBOTIC SYSTEM IN CASE OF INFORMATION INFLUENCE ON THE SINGLE COMPONENT

2015 ◽  
pp. 43-49 ◽  
Author(s):  
D. G. Isakeev ◽  
T. V. Zikratova ◽  
I. S. Lebedev ◽  
D. P. Shabanov
Keyword(s):  
Robotic System ◽  
Single Component ◽  
Multi Agent

Formations Strategies for Obstacle Avoidance with Multi Agent Robotic System

2013 ◽  
pp. 232-245 ◽  
Author(s):  
M. Azrai M. Norrazi ◽  
Wee Yang Ricky Yap ◽  
Ibrahim M. H. Sanhoury ◽  
Mahdi Tousizadeh ◽  
Mohd. Muhaimin Mahmood ◽  
...  
Keyword(s):  
Obstacle Avoidance ◽  
Robotic System ◽  
Multi Agent

scholarly journals Methods of a Heterogeneous Multi-agent Robotic System Group Control

2019 ◽  
Vol 150 ◽  
pp. 687-694 ◽  
Author(s):  
O.V. Darintsev ◽  
B.S. Yudintsev ◽  
A.Yu. Alekseev ◽  
D.R. Bogdanov ◽  
A.B. Migranov
Keyword(s):  
Robotic System ◽  
Group Control ◽  
Multi Agent

scholarly journals Digital Watermarks with Adaptive Information Ring Width in the Issue of Hidden Transmission of a Control Signal in the Multi-Target Robotic System

2020 ◽  
Vol 24 (2) ◽  
pp. 136-152
Author(s):  
O. O. Shumskaya ◽  
A. О. Iskhakova
Keyword(s):  
Ring Width ◽  
Digital Watermark ◽  
Robotic System ◽  
Control Signal ◽  
Image Rotation ◽  
Control Signals ◽  
Multi Agent ◽  
Digital Watermarks ◽  
Transmitted Signal ◽  
Hidden Data

Purpose of research. The article is devoted to the issue of ensuring the safe transmission of control signals between the elements of a multi-agent robotic system. The purpose of the work is to provide hidden data transmission with the possibility of unambiguous extraction of control signals.Methods. To solve the task set, an algorithm based on the methods of digital watermarks and digital steganography was proposed. The method of forming a digital watermark in the form of a ring with symmetry allows not only ensuring maximum imperceptibility of embedding (insignificant distortion of the container during concealment), but also to protect the transmitted signal from such complex distortions as image rotation. The steganographic concealment method allows regulating the intensity of embedding using the force factor; it is computationally simple and straightforward. The proposed approach to identifying and understanding the transmitted signal differs from modern methods of cryptography and steganalysis in that it does not require 100% correct signal extraction. After several modifications, the method allows minimizing the time spent on formation (adaptive width of the ring with signal bits) and embedding of a digital watermark (minimization of the processed area of the container for embedding).Results. The proposed approach makes it possible to transmit control signals in a hidden way within the framework of the transmission of digital objects; the conducted experiments have shown that the control signal is unambiguously understood even with such distortions as a decrease or increase in contrast or brightness, image rotation, and compression.Conclusion. Application of the proposed technique for transmitting control signals in a multi-agent robotic system will male it possible to receive the necessary information timely and safe, with a minimum probability of loss.

A Human Interface for Interacting with and Monitoring the Multi-Agent Robotic System

1994 ◽  
pp. 50-61 ◽  
Author(s):  
Tsuyoshi Suzuki ◽  
Kazutaka Yokota ◽  
Hajime Asama ◽  
Yoshiki Ishida ◽  
Akihiro Matsumoto ◽  
...  
Keyword(s):  
Robotic System ◽  
Human Interface ◽  
Multi Agent

Cyclic pursuit in a multi-agent robotic system with double-integrator dynamics under linear interactions

Robotica ◽  
2013 ◽  
Vol 31 (7) ◽  
pp. 1037-1050 ◽  
Author(s):  
Balaji R. Sharma ◽  
Subramanian Ramakrishnan ◽  
Manish Kumar
Keyword(s):  
Robotic System ◽  
System Stability ◽  
Stochastic Perturbations ◽  
Agent Interactions ◽  
Cyclic Pursuit ◽  
Potential Applications ◽  
Multi Agent ◽  
The Stability ◽  
Velocity Matching ◽  
Double Integrator

SUMMARYWe investigate the controlled realization of a stable circular pursuit model in a multi-agent robotic system described by double-integrator dynamics with homogeneous controller gains. The dynamic convergence of the system starting from a randomly chosen, non-overlapping initial configuration to a sustained, stable pursuit configuration satisfying velocity matching and uniform inter-agent separation is demonstrated using the proposed control framework. The cyclic pursuit configuration emerges from local, linear, inter-agent interactions and is shown to be robust under stochastic perturbations of small and moderate intensities. The stability criterion discussed in this work is independent of the number of agents, permitting dynamic addition/deletion of agents without affecting overall system stability. Experimental results that validate the key theoretical results are also presented. Potential applications of the results obtained include cooperative perimeter tracking and resource distribution applications such as border patrol and wildfire monitoring.

scholarly journals Design and modeling of the multi-agent robotic system: SMART

2012 ◽  
Vol 60 (2) ◽  
pp. 143-153 ◽  
Author(s):  
Cecilia García ◽  
Pedro F. Cárdenas ◽  
Lisdandro J. Puglisi ◽  
Roque Saltaren
Keyword(s):  
Robotic System ◽  
Multi Agent

EMERGENT FLUCTUATIONS IN THE TRAJECTORIES OF AGENT COLLECTIVES

2007 ◽  
Vol 07 (04) ◽  
pp. L429-L437 ◽  
Author(s):  
NEBU JOHN MATHAI ◽  
TAKIS ZOURNTOS
Keyword(s):  
Dynamical Systems ◽  
Collective Behavior ◽  
Complex Dynamics ◽  
Deterministic Model ◽  
Robotic System ◽  
High Dimensional ◽  
Multi Agent ◽  
Behavior Based ◽  
Dimensional Coupling ◽  
Selection Of

Characteristics of the collective behavior of groups have been studied in diverse disciplines; in this work, we present an approach grounded in robotics. We first specify a model for collective behavior based on a formulation of a multi-agent robotic system. In contrast to some models found in the literature, we do not use stochastic mechanisms to introduce fluctuations. Rather, we present a fully deterministic model where fluctuations emerge due to the complex dynamics of a high-dimensional coupling of dynamical systems. We investigate the emergence of fluctuations in the trajectories of individual agents about the group average trajectory, and present an illustration of the onset of these fluctuations as inter-agent coupling is increased. A selection of behavioral modes are also provided, illustrating the nature of these fluctuations.

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