2016
DOI: 10.4316/aece.2016.04015
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Remote Control of an Autonomous Robotic Platform Based on Eye Tracking

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Cited by 13 publications
(3 citation statements)
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“…Recently, various methodologies have been utilized for mobile robot navigation [1][2][3]. These are, artificial potential fields (APF) [4][5][6], vision-based gaze guided control (GGC) [7][8][9][10][11][12][13][14][15], fuzzy logic control [12,[16][17][18], vector field histogram (VFH) [19,20], rapidly-exploring random trees [21,22], and obstacle avoidance and path planning [23] algorithms. The fuzzy logic controller is one of the efficient techniques, which tends to be used actually for steering control in unpredictable environments [3,24,25].…”
Section: Introductionmentioning
confidence: 99%
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“…Recently, various methodologies have been utilized for mobile robot navigation [1][2][3]. These are, artificial potential fields (APF) [4][5][6], vision-based gaze guided control (GGC) [7][8][9][10][11][12][13][14][15], fuzzy logic control [12,[16][17][18], vector field histogram (VFH) [19,20], rapidly-exploring random trees [21,22], and obstacle avoidance and path planning [23] algorithms. The fuzzy logic controller is one of the efficient techniques, which tends to be used actually for steering control in unpredictable environments [3,24,25].…”
Section: Introductionmentioning
confidence: 99%
“…Combining different types of technology with eye based systems [36][37][38][39][40] integration can be useful for disabled, elderly and patients peoples that especially with neuro-motor disabilities. They can remotely control a moving platform [11,12,41,42] with these technologies in complex daily tasks [14,43]. A wheelchair is a good substitute, for example Reference [44].…”
Section: Introductionmentioning
confidence: 99%
“…A genetic algorithm is used to generate an optimal path by means of the information from camera and image processing. Pasarica et al 18 presented using eye tracking technology to control a robotic platform. Several papers also discuss path planning problems of robots for efficient control.…”
Section: Introductionmentioning
confidence: 99%