Underwater Scenes: the Applications and Trends of Biomimetic Robots Based on Slam
- DOI
- 10.2991/978-94-6463-512-6_14How to use a DOI?
- Keywords
- Slam; Underwater; Orb-slam; Dolphin-slam; Bionic Robot
- Abstract
With the constant development of modern science technologies, the research in decisive positioning of robots in various environments is an emerging area in the fields nowadays. This paper analyses and discusses the existing ocean exploration problems from the perspective of a bionic robot incorporating the slam algorithm. Comparative analysis of the more prevalent bionic robotic fusion vision slam techniques and bionic techniques for the slam algorithm itself through different underwater scenarios, such as the seabed, simulation of oil simulation environments, and confined spaces, further understanding the development and application of Simultaneous localization and mapping (SLAM) for robots based on the slam algorithm, which is used in different underwater scenarios. exploring the universality problems during the experimental process, proposing assumptions for existing problems, and prospects for its future development.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jing Liu PY - 2024 DA - 2024/09/23 TI - Underwater Scenes: the Applications and Trends of Biomimetic Robots Based on Slam BT - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024) PB - Atlantis Press SP - 115 EP - 121 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-512-6_14 DO - 10.2991/978-94-6463-512-6_14 ID - Liu2024 ER -