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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Swarm Robots Communication-base Mobile Ad-Hoc Network (MANET) Bambang Tutuko; Siti Nurmaini
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (947.986 KB) | DOI: 10.11591/eecsi.v1.361

Abstract

This paper describes the swarm robots communication and control base Mobile ad-hoc network (MANET). MANET is a source of codes which migrate the network, collects and exchanges information of network nodes. In this work, the communication networks, which do not rely on fixed, preinstalled communication devices like base stations or predefine communication cells. Communications standards are considered in this work use the ad-hoc network such as Wireless LAN, X-Bee/Zig-Bee and Internet platform. All standards are integrated on swarm robots for real experiments. For finding the target, Particle swarm optimization (PSO) algorithm is proposed to control the real swarm robots communication in unknown experiment. As a results swarm robots-base MANET use PSO algorithm produce past response to find the target and swarm robots can move in the group without collision.
Gas Leak Localization Using Mobile Sensor Networks Bambang Tutuko; Siti Nurmaini; Agus Triadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.821 KB) | DOI: 10.11591/eecsi.v2.782

Abstract

A swarm robotics localization strategybased on deliberates fuzzy and swarm behavior isproposed in this paper. Localization is the processof determining the positions of robots or targetsin whole swarms environment. To localize thetarget in real environment, experiment isconducted utilize three identical robots withdifferent color as mobile sensor node. Fuzzy logicand swarm behavior are keeping the swarmrobots position and direction with a certaindistance to the target position.
Pattern Recognition Approach for Formation Control for Swarm Robotics Using Fuzzy-Kohonen Networks Siti Nurmaini; Bambang Tutuko; Aditya Aditya
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.693 KB) | DOI: 10.11591/eecsi.v2.802

Abstract

Recent advances in robotics have started makingit feasible to deploy large numbers of inexpensive robotsfor tasks such as surveillance and search. However,coordination of multiple robots to accomplish such tasksremains a challenging problem. This paper describes newalgorithm Fuzzy-Kohonen Networks (FKN) to achieve realtimereactive formation control for swarm robots.
Differential-Drive Mobile Robot Control Design based-on Linear Feedback Control Law Siti Nurmaini; Kemala Dewi; Bambang Tutuko Tutuko
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (962.226 KB) | DOI: 10.11591/eecsi.v3.1115

Abstract

This paper deals with the problem of how to control differential driven mobile robot with simple control law. When mobile robot moves from one position to another to achieve a position destination,  it  always produce  some errors.  Therefore,  a  mobile robot  requires  a certain control law to drive the robot’s movement to the position destination with a smallest possible error. In this paper, in order to reduce position error, a linear feedback control is proposed with pole placement approach to regulate the polynoms desired. The presented work leads to an improved understanding of differential-drive mobile robot (DDMR)-based kinematics equation, which will assist to design of suitable controllers for DDMR movement . The result show by using the linier feedback control method with pole placement approach the position error is reduced and fast convergence is achieved.