2014 International Conference on Mechatronics, Electronics and Automotive Engineering 2014
DOI: 10.1109/icmeae.2014.22
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Trajectory Tracking Task in Wheeled Mobile Robots: A Review

Abstract: Over the last decades, research on the trajectory tracking task in wheeled mobile robots (WMR) has grown steadily. Nowadays, the WMR are present in most of the existing scientific fields, likewise, they have a wide number of applications in society. Therefore, this paper gives a literate review related to the trajectory tracking task in WMR. At the same time, a brief history of robotics, application of WMR, and the most relevant solutions for the trajectory tracking task are presented.

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Cited by 5 publications
(3 citation statements)
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“…The sensing capabilities of robots can be improved through the use of more reliable controllers. According to Sosa-Cervantes et al [8], two basic types of controllers have already been proposed for robot motion. The authors identified these as dynamics-based controllers and kinematics-based controllers [9,10].…”
Section: Introductionmentioning
confidence: 99%
“…The sensing capabilities of robots can be improved through the use of more reliable controllers. According to Sosa-Cervantes et al [8], two basic types of controllers have already been proposed for robot motion. The authors identified these as dynamics-based controllers and kinematics-based controllers [9,10].…”
Section: Introductionmentioning
confidence: 99%
“…Mobil zemin robotları, tekerlekli mobil robotlar (WMR) ve bacaklı mobil robotlar (LMR) olarak iki gruba ayrılmaktadır. Tekerlekli robotlar diğer mobil robotlara göre daha yaygın kullanım alanına sahiptirler [4]. Bu robotların cazip olma nedeni uygulamada daha düşük mekanik karmaşıklığa sahip olmaları ve enerji tüketimlerinin daha az olması gibi avantajlarının olmasıdır.…”
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“…Two basic types of controllers have been proposed for robot motion control [10]: kinematics based [11] versus dynamics based [12]. Dynamic controllers tend to outperform kinematic controllers, but, require real-time information regarding the robot's state and behaviour [13].…”
Section: Introductionmentioning
confidence: 99%