2020
DOI: 10.1016/j.robot.2019.103377
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A chaotic path planning generator based on logistic map and modulo tactics

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Cited by 59 publications
(29 citation statements)
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“…Using a chaotic system to generate the trajectory of the robot leads to a movement that is unpredictable and looks arbitrary to an outside observer. us, chaotic path planning is an effective approach for grid coverage that is attractive to applications that consider obstacles, surveillance, search and rescue missions, and domestic applications [39][40][41][42][43][44][45][46][47][48][49].…”
Section: Application To Chaotic Path Planningmentioning
confidence: 99%
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“…Using a chaotic system to generate the trajectory of the robot leads to a movement that is unpredictable and looks arbitrary to an outside observer. us, chaotic path planning is an effective approach for grid coverage that is attractive to applications that consider obstacles, surveillance, search and rescue missions, and domestic applications [39][40][41][42][43][44][45][46][47][48][49].…”
Section: Application To Chaotic Path Planningmentioning
confidence: 99%
“…is is a first indication that the coverage performance will give satisfactory results, since an uneven distribution of the motion commands would clearly lead to the robot moving in a skewed way on the grid. A similar approach using the modulo operator was considered in [46], where the discrete time logistics map was used. In that work, the chaotic system was discrete, so the use of sampling and its effect on the coverage performance were not explored.…”
Section: Motion In Eight Directionsmentioning
confidence: 99%
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“…In Section 2 the applications of chaos to communications are illustrated [2][3][4][5][6][7][8][9][10][11][12], including the use of chaos in radar-based systems and underwater acoustic channels. Section 3 highlights how chaos may represent a promising approach in sensing applications [13], whereas Section 4 illustrates different applications of chaos in robotic motion [14][15][16]. In Section 5 it is shown how chaos can give significant insights to the quality assessments of fruits and vegetables [17].…”
Section: Introductionmentioning
confidence: 99%
“…In order to design a seemingly random motion that will also guarantee efficient grid exploration, many researchers have considered chaotic path planning [2,[18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33]. In this approach, a chaotic dynamical system is utilized to generate a chaotic motion trajectory, that is then performed by the robot to achieve efficient coverage.…”
Section: Introductionmentioning
confidence: 99%