2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2015
DOI: 10.1109/aim.2015.7222542
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Vision-based path coordination for multiple mobile robots with four steering wheels using an overhead camera

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Cited by 5 publications
(3 citation statements)
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“…This algorithm is completed using two trees that start to separate from both the starting and the target positions. Visual-servoing (VS) methods have been widely used in various path planning applications [32][33][34][35][36][37] and use an image sensor in a feedback loop for trajectory control. Global path planning provides a global map in which the robot initial position, goal point, and obstacle positions are determined.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This algorithm is completed using two trees that start to separate from both the starting and the target positions. Visual-servoing (VS) methods have been widely used in various path planning applications [32][33][34][35][36][37] and use an image sensor in a feedback loop for trajectory control. Global path planning provides a global map in which the robot initial position, goal point, and obstacle positions are determined.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A brief introduction to the EuRathlon competition as well as the required tasks for the Trials L1 and L2 will be presented in this section, for more detailed information please visit the challenge web site 1 .…”
Section: Challenge and Trials Descriptionmentioning
confidence: 99%
“…Some initial approaches employed single [1], [2] or multiple [3] cameras placed at fixed locations to get a global perception of the environment and help navigating the robots. However, this solutions are highly constrained as result of its dependence on the fixed camera arrangement.…”
Section: Introductionmentioning
confidence: 99%