Mapping algorithm using ultrasonic and compass sensor on autonomous mobile robot

Fathan, Aulian Miftahul; Jati, Agung Nugroho; Saputra, Randy Erfa

doi:10.1109/iccerec.2016.7814986

Cited by 8 publications

(3 citation statements)

References 2 publications

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“…Therefore, a new system and equipment are needed to assist in stabilizing and keeping the robot on track during operation, such as the use of sensors or control within a task framework [14]. One such system or device is the addition of an HMC8853L compass sensor to the robot system, which enables the robot to recognize its position and search for the path it traverses [15]. This sensor is used as a navigation tool to determine the direction [16] of the DK-ONE robot and guide it along its path [17], as well as to direct the robot toward its destination and perform assigned tasks [18].…”

Section: Resultsmentioning

confidence: 99%

“…The 12 servos integrated with the program on the microcontroller, controlled by the servo driver PCA9685, allow the robot to perform movements as shown in Figure 6. In the coding stage, the first step is to read the output of the HMC88531 compass sensor as a determinant of the robot's movement direction and to help the robot detect systematic changes in its orientation [15]. In this process, the HMC8853L compass sensor module is connected directly to the Arduino Mega, separated from the robot body.…”

Section: Resultsmentioning

confidence: 99%

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Development of robot motion direction based on microcontroller with compass sensor

Seke,

Tamba

2024

IJRA

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This research brings innovation to the motion and navigation system of the ‘DK-ONE’ robot. In the 2021 Indonesian ‘Search and Rescue’ robot contest, the ‘DK-ONE’ robot faced difficulties moving towards the target room. The issue was attributed to an unbalanced frame construction and friction between the robot’s legs and the arena floor, leading to leg slippage. This resulted in a mismatch between the programmed number of steps for the robot and the desired path to the target space, causing errors in the robot’s system. To address these problems, researchers conducted a study aimed at enabling the ‘DK-ONE’ robot to accurately determine its direction of motion. This research followed the waterfall method, involving stages such as system analysis, design, coding, testing, and supporting phases. The study was carried out in the integrated laboratory of the Department of Electrical Engineering Education. The development of the robot’s motion direction using a compass sensor significantly improved stability while walking on straight, flat, and uneven paths. The robot no longer experienced errors in its motion direction and remained on the intended path. As a result, the increased efficiency in robot motion also positively impacted the structural efficiency and energy consumption of the robot.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Development of robot motion direction based on microcontroller with compass sensor

Seke,

Tamba

2024

IJRA

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“…Research in Multi-Robot, mostly develops control system based on computer process [6]. Besides, there are some kind of multi-robot autonomous control system, which robot will ove autonomos after activated without any other commands [7]. Moreover,distributed control system is one of popular research area related to multi-robot controlling.…”

Section: Introductionmentioning

confidence: 99%

A Multi-robot System Coordination Design and Analysis on Wall Follower Robot Group

Jati

Saputra

Nurcahyadi

et al. 2018

IJECE

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In this research, multi-robot formation can be established according to the environment or workspace. Group of robots will move sequently if there is no space for robots to stand side by side. Leader robot will be on the front of all robots and follow the right wall. On the other hand, robots will move side by side if there is a large space between them. Leader robot will be tracked the wall on its right side and follow on it while every follower moves side by side. The leader robot have to broadcast the information to all robots in the group in radius 9 meters. Nevertheless, every robot should be received information from leader robot to define their movements in the area. The error provided by fuzzy output process which is caused by read data from ultrasound sensor will drive to more time process. More sampling can reduce the error but it will drive more execution time. Furthermore, coordination time will need longer time and delay. Formation will not be establisehed if packet error happened in the communication process because robot will execute wrong command.

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High-precision sound source localization method based on successive approximation in an inhomogeneous sound velocity field

Tao

Zhang²,

Huang

2019

Applied Acoustics

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Mapping algorithm using ultrasonic and compass sensor on autonomous mobile robot

Cited by 8 publications

References 2 publications

Development of robot motion direction based on microcontroller with compass sensor

Development of robot motion direction based on microcontroller with compass sensor

A Multi-robot System Coordination Design and Analysis on Wall Follower Robot Group

High-precision sound source localization method based on successive approximation in an inhomogeneous sound velocity field

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