2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) 2018
DOI: 10.1109/icarcv.2018.8581326
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Formation Control of Multiple Mobile Robots with Large Obstacle Avoidance

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Cited by 4 publications
(12 citation statements)
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“…A formation based methodology to control mobile robots and to avoid large obstacle is presented by (A. Fujimori et al, 2018). The formation is constructed using sonars.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A formation based methodology to control mobile robots and to avoid large obstacle is presented by (A. Fujimori et al, 2018). The formation is constructed using sonars.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The authors have been studying various subjects in the formation control by the leader-follower method using mobile robots with multiple sonar sensors which are described as follows [19]- [24]. Generally, since the formation control law based on the dynamic inversion [25] included the states of both leader and follower [14]- [16], the follower needed means for obtaining the state of the leader to implement the control law on real mobile robots.…”
Section: Introductionmentioning
confidence: 99%
“…The SMI did not need any communication means between the mobile robots and improved the applicability of the leaderfollower method. We also studied formation control in obstacle scattered environments [21]- [24]. In these studies, multiple sonars were adaptively used for two purposes: leader tracking for formation control and obstacle detection to avoid collision with obstacles.…”
Section: Introductionmentioning
confidence: 99%
“…The formation control was then realized while avoiding obstacles even in the presence of obstacles [21], [22]. Furthermore, we developed a formation control method for large obstacle avoidance in which modules reinforced for the avoidance were introduced [23], [24].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we call this function "shape transition". In the formation control with large obstacle avoidance described above, an algorithm was proposed in which the local part of the shape was temporarily changed to a shape that easily avoided obstacles and then returned to the original shape [23], [24]. It may also be desirable from the practical point of view to change the formation shape to reconstruct a formation by adding or removing mobile robots forming the formation.…”
Section: Introductionmentioning
confidence: 99%