Abstract
Abstract
Purpose of Review
The goal of this paper is to review current developments in the area of underwater robotics regarding the use of AI, especially in model learning, robot control, perception and navigation as well as manipulation.
Recent Findings
AI technologies and advanced control techniques are finding their way into robotics systems to deal with complex and challenging conditions and to equip them with higher levels of autonomy.
Summary
Although AI techniques and concepts are already a focus area in research on autonomous underwater systems, broad adoption to commercial systems is still in its infancy. Nonetheless, major advances have been done in recent years, especially on integrating different capabilities (perception, navigation, advanced control) in a single system and with first approaches on interaction and autonomous manipulation.
Funder
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
Publisher
Springer Science and Business Media LLC
Reference118 articles.
1. Dundas SJ, Levine AS, Lewison RL, Doerr AN, White C, Galloway AW, Garza C, Hazen EL, Padilla-Gamiño J, Samhouri JF, et al. Integrating oceans into climate policy: any green new deal needs a splash of blue. Conserv Lett. 2020;13(5):12716.
2. Fortuna N. Divers needed. UnderWater Magazine May/June; 2021
3. Lee J, Zhao F. Global wind report 2021. Global Wind Energy Council: Technical report; 2021.
4. Feigenbaum EA, Feldman J, et al. Computers and Thought. New York, NY: McGraw-Hill; 1963.
5. Rajan K, Saffiotti A. Towards a science of integrated AI and Robotics. Elsevier; 2017
Cited by
26 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献