2006
DOI: 10.15837/ijccc.2006.2.2288
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Coordinated Control Of Mobile Robots Based On Artificial Vision

Abstract: This work presents a control strategy for coordination of multiple robots based on artificial vision to measure the relative posture between them, in order to reach and maintain a specified formation. Given a leader robot that moves about an unknown trajectory with unknown velocity, a controller is designed to maintain the robots following the leader at a certain distance behind, by using visual information about the position of the leader robot. The control system is proved to be asymptotically stable at the … Show more

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Cited by 16 publications
(5 citation statements)
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“…Leader following robot is mobile robot that follows the command of the leader robot. It can be used as an active signal positioning machine to discover and track the leader position [14]. The leader robot works together with all its following robots to move the box.…”
Section: Mobile Robotmentioning
confidence: 99%
“…Leader following robot is mobile robot that follows the command of the leader robot. It can be used as an active signal positioning machine to discover and track the leader position [14]. The leader robot works together with all its following robots to move the box.…”
Section: Mobile Robotmentioning
confidence: 99%
“…In the first, features are extracted from the image of a target, and through the knowledge about its geometry it is possible to determine the posture of the target with respect to the camera (Malis, 2004). In the second, image-base approaches, the servoing is done directly on the image domain without the need of the geometry model of the target (Kapur et al, 2005;Soria et al, 2006).This kind of approaches may reduce computational delays and minimize some errors due to camera calibration. Nevertheless, it is necessary to compute or estimate the feature Jacobian matrix, which represents a difficulty for the control architecture since the process is non-linear and high coupled.…”
Section: State-of-the-artmentioning
confidence: 99%
“…In Bugarin and Aguilar-Bustos 2014) is addressed this problem with the fixed-camera arrangement and with the Image-Based alternative where it is highlighted that their controller is independent of the knowledge of the vision system parameters. In Benhimane et al (2005), Min et al (2009), andSoria et al (2006) the formation control problem is solved using the camera-mounted arrangement with the Position-Based alternative and, in their results, there exist the need of the full or partial knowledge of the vision system parameters. In Das et al (2002), Mariottini et al (2007), and Roberti et al (2011) are proposed controllers under the same conditions as above (mounted-camera and Position-Based alternative) but by means of catadioptric vision systems, basically to expand the field of view.…”
Section: Introductionmentioning
confidence: 99%