Guest Editor:
Prof. Dr. Mohamed-Salim BOUHLEL
Volume (09)
-
Issue
II
| @ARTICLE |
{P1130950101, |
| AUTHOR = |
{E. Fute Tagne and E. Tonye and A. Koukam and F. Lauri}, |
| TITLE = |
{Multi-Agent Patrolling Strategy: Application to the Exploration Environment
Problem}, |
| JOURNAL = |
{ICGST International Journal on Automation, Robotics and Autonomous Systems, ARAS}, |
| YEAR = |
{2009}, |
| MONTH= |
{December}, |
| VOLUME = |
{09}, |
| ISSUE = |
{II}, |
| PAGES= |
{1--5}, |
| ABSTRACT= |
{Patrolling an environment involves a team of agents or
robots whose goal usually consists in continuously
visiting its most relevant areas as frequently as possible.
For such a task, agents have to coordinate their actions in
order to achieve their goal. In this paper, our agents are
sensors, with a radius of a communication and sensory
radius. In contrast to strategies that consider the
environment to patrol known, we assume the unknown
environment. According to the adopted strategy, we
define at first, a behavior of the agents on the basis of a
set of strengths or field of potential, then secondly we
define the agents behavior as a descent of the pheromone
gradient (i.e. moving towards the cells containing the less
pheromone quantity). The simulation of these strategies
allowed an evaluation of the worst and average idleness}, |
| NOTE= |
{Agent, idleness, modeling, multi-agents,
patrolling, sensor, wireless sensor networks}
}
|
(Status: Accepted)
| @ARTICLE |
{P1130950102, |
| AUTHOR = |
{M.R. Abdessemed and M. Slimane and S. Aupetit and A. Bilami}, |
| TITLE = |
{Oriented Grouping Approach in Homogenous Robots Environment}, |
| JOURNAL = |
{ICGST International Journal on Automation, Robotics and Autonomous Systems, ARAS}, |
| YEAR = |
{2009}, |
| MONTH= |
{December}, |
| VOLUME = |
{09}, |
| ISSUE = |
{II}, |
| PAGES= |
{7--15}, |
| ABSTRACT= |
{Collective behaviours performed by social insects are
among the most outstanding in the animal reign. At the
basis of these collective interactions, we observe a
cooperative work which facilitates the exchanges
between the individuals in the same group, and allows the
emergence of complex collective behaviours at the
macroscopic level. Many models were inspired from
these behaviours to look for simple rules guiding
autonomous mobile robots, with limited skills, in the
accomplishment of tasks like clustering and exploring. A
method based on the reverse emergence principal is
presented in this perspective, according to two
approaches; the first one, presented by Barfoot &
D’Eleuterio in 1999, is used in this paper for a
comparison purpose; and the second one, representing the
suggested approach which is based on the rendezvous
principal, where the control system (comparable to
cellular automaton working on the sensorimotor rules) is
serving as an arbitrator between some simple behaviours
provided initially to each robot-agent. A genetic
algorithm, then, looks for the cellular automaton whose
control has as a consequence, the success of the heapformation
task. Simulation results made in this direction,
according to the reactive model of multi-agent system are
delivered and interpreted.}, |
| NOTE= |
{Autonomous Collective robotic, Genetic
algorithm, Oriented heap-formation, Reverse emergence}
}
|
(Status: Accepted)
| @ARTICLE |
{P1130950103, |
| AUTHOR = |
{Y. Nojima and Y. Hamada and H. Ishibuchi}, |
| TITLE = |
{Application of Interactive Fuzzy Data Mining to the Analysis of
Inter-Vehicle Communication in Traffic Simulations}, |
| JOURNAL = |
{ICGST International Journal on Automation, Robotics and Autonomous Systems, ARAS}, |
| YEAR = |
{2009}, |
| MONTH= |
{December}, |
| VOLUME = |
{09}, |
| ISSUE = |
{II}, |
| PAGES= |
{17--25}, |
| ABSTRACT= |
{Recently, Inter-Vehicle Communication (IVC) has actively
been studied to avoid traffic congestion. Vehicles
with IVC can obtain the latest traffic information on the
congestion through local communication among
neighboring vehicles. In this paper, we examine the effectiveness
of IVC through computer simulations. Each
vehicle chooses a link (i.e., route) according to the traffic
information. The traffic information for each link is represented
by a link weight. Each link weight corresponds
to the travel time that a vehicle can pass the link. We
examine when and where the traffic information is useful
for link selections. Thus, we collect travel records (e.g.,
predicted and actual travel times, travel path, traffic volumes
around the path) of vehicles with IVC from traffic
simulations. Since we can obtain a huge amount of data,
we analyze the data by fuzzy data mining. It can linguistically
represent the data by fuzzy rules. We use multiobjective
genetic fuzzy rule selection to obtain a set of
fuzzy rules with high accuracy and interpretability. For
the interpretability, we incorporate user’s preference into
our genetic rule selection method. User’s preference is
represented by satisfaction levels. The satisfaction levels
are interactively modified by its user in our interactive
fuzzy data mining}, |
| NOTE= |
{Inter-vehicle communication, traffic simulation,
interactive fuzzy data mining, multiobjective genetic
fuzzy rule selection, fuzzy rule-based knowledge extraction}
}
|
(Status: Accepted)
| @ARTICLE |
{P1130950104, |
| AUTHOR = |
{Nicu George Bizdoaca and Anca Petrisor and Sonia Degeratu and Rotaru Petre and Bizdoaca Elvira}, |
| TITLE = |
{Fuzzy Logic Controller for Shape Memory Alloy Tendons Actuated
Biomimetic Robotic Structure}, |
| JOURNAL = |
{ICGST International Journal on Automation, Robotics and Autonomous Systems, ARAS}, |
| YEAR = |
{2009}, |
| MONTH= |
{December}, |
| VOLUME = |
{09}, |
| ISSUE = |
{II}, |
| PAGES= |
{27--34}, |
| ABSTRACT= |
{The paper studies the fuzzy logic controller for a shape
memory alloy (SMA) biomimetic (tentacle type) robotic
structure. A tentacle manipulator is a manipulator with a
great flexibility, with a distributed mass and torque that
can take any arbitrary shape. Considering the influences
of the environment temperature, for SMA actuation, a
special attention has to be paid to the adaptation of
control strategy to external condition. First, are presented
experimental results related to SMA physical
characterizations using Thermal Analysis Methods. In the
next section SMA tentacle’s robotic structure
conventional control (P, PI, PD, and PID controller) is
tested and the results are commented. Fuzzy logic
approach conducts to suitable for the tentacle SMA based
structure, considering the repeatability of the results. The
proposed control strategy is based on the Direct Sliding
Mode Control (DSMC), which controls the trajectory,
towards the switching line and then the motion is forced
directly to the origin, on the switching line. A fuzzy
controller is proposed and the fuzzy rules are established
by using the DSMC procedures. In conclusions
conventional control structures offer good performances
in term of the time response and simple structure, but not
guarantee the repeatability of the results as proposed
DSMC controller}, |
| NOTE= |
{Direct Sliding Mode Controller, Fuzzy Logic
Sliding Mode Control, Robot, Shape Memory Alloy}
}
|
|
