Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning
Yang Weng,
Sehwa Chun,
Masaki Ohashi
et al.
Abstract:High‐speed underwater wireless optical communication holds immense promise in ocean monitoring and surveys, providing crucial support for the real‐time sharing of observational data collected by autonomous underwater vehicles (AUVs). However, due to inaccurate target information and external interference in unknown environments, link alignment is challenging and needs to be addressed. In response to these challenges, we propose a reinforcement learning‐based alignment method to control the AUV to establish an … Show more
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