Dynamic Formations of Autonomous Underwater Vehicles using State Estimation

Neettiyath, Umesh; Thondiyath, Asokan

doi:10.1145/2506095.2506111

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…In Ref. [37], each follower AUV obtains its own waypoint at the next moment based on the historical and current positions of its leader, with the formation transforming from a line to a pentagon. Although frequently applied, the leader-follower method has the obvious shortcoming of relying excessively on the leaders.…”

Section: Leader-follower Methodsmentioning

confidence: 99%

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Overview of Research on Transformation of Multi-AUV Formations

Xin

Chen

Qing

et al. 2021

Complex Syst. Model. Simul.

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Because of their wide detection range and rich functions, autonomous underwater vehicles (AUVs) are widely used for observing the marine environment, for exploring natural resources, for security and defense purposes, and in many other fields of interest. Compared with a single AUV, a multi-AUV formation can better perform various tasks and adapt to complex underwater environments. With changes in the mission or environment, a change in the UAV formation may also be required. In the last decade, much progress has been made in the transformation of multi-AUV formations. In this paper, we aim to analyze the core concepts of multi-AUV formation transformation; summarize the effects of the AUV model, underwater environment, and communication between AUVs within formations on formation transformation; and elaborate on basic theories and implementation approaches for multi-AUV formation transformation. Moreover, this overview includes a bibliometric analysis of the related literature from multiple perspectives. Finally, some challenging issues and future research directions for multi-AUV formation transformation are highlighted.

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Section: Leader-follower Methodsmentioning

confidence: 99%

“…In Ref. [37], a state estimationbased controller was designed for follower AUVs in the formation transformation process. Each follower AUV determines its next waypoint according to its own current and historical positions and those of its leader.…”

Section: Bottom Control Layermentioning

confidence: 99%