@inproceedings{3eb69bdde0fc461b8c86ea67db7fb9c6,
title = "Underwater Human-Robot and Human-Swarm Interaction: A Review and Perspective",
abstract = "There has been a growing interest in extending the capabilities of autonomous underwater vehicles (AUVs) in subsea missions, particularly in integrating underwater human-robot interaction (UHRI) for control. UHRI and its subfield, underwater gesture recognition (UGR), play a significant role in enhancing diver-robot communication for marine research. This review explores the latest developments in UHRI and examines its promising applications for multi-robot systems. With the developments in UGR, opportunities are presented for underwater robots to work alongside human divers to increase their functionality. Human gestures creates a seamless and safe collaborative environment where divers and robots can interact more efficiently. By highlighting the state-of-the-art in this field, we can potentially encourage advancements in underwater multi-robot system (UMRS) blending the natural communication channels of human-robot interaction with the multi-faceted coordination capabilities of underwater swarms, thus enhancing robustness in complex aquatic environments.",
keywords = "digital twin, Gesture recognition, human-swarm interaction (HSI), metaverse, swarm, Underwater gesture recognition (UGR), Underwater human-robot in-teraction (UHRI)",
author = "Sara Aldhaheri and Federico Renda and \{De Masi\}, Giulia",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; OCEANS 2024 - Singapore, OCEANS 2024 ; Conference date: 15-04-2024 Through 18-04-2024",
year = "2024",
doi = "10.1109/OCEANS51537.2024.10682377",
language = "British English",
series = "Oceans Conference Record (IEEE)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "OCEANS 2024 - Singapore, OCEANS 2024",
address = "United States",
}