Home ›
Entities
› academia
› Multi-AUV dynamic trajectory optimization and collaborative search combined with task urgency and energy consumption scheduling in 3-D underwater environment with random ocean currents and uncertain obstacles
Multi-AUV dynamic trajectory optimization and collaborative search combined with task urgency and energy consumption scheduling in 3-D underwater environment with random ocean currents and uncertain obstacles
Research article (Ocean Engineering, 2023) · cited 24× · AI/ML
Multi-AUV dynamic trajectory optimization and collaborative search combined with task urgency and energy consumption scheduling in 3-D underwater environment with random ocean currents and uncertain obstacles
Summary
Multi-AUV dynamic trajectory optimization and collaborative search combined with task urgency and energy consumption scheduling in 3-D underwater environment with random ocean currents and uncertain obstacles is a scholarly article[1].
Key Facts
Multi-AUV dynamic trajectory optimization and collaborative search combined with task urgency and energy consumption scheduling in 3-D underwater environment with random ocean currents and uncertain obstacles's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Multi-AUV dynamic trajectory optimization and collaborative search combined with task urgency and energy consumption scheduling in 3-D underwater environment with random ocean currents and uncertain obstacles. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-auv-dynamic-trajectory-optimization-and-collaborative-search-combined-with-task-urgency-and-energy-consumption-sch
MLA“Multi-AUV dynamic trajectory optimization and collaborative search combined with task urgency and energy consumption scheduling in 3-D underwater environment with random ocean currents and uncertain obstacles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-auv-dynamic-trajectory-optimization-and-collaborative-search-combined-with-task-urgency-and-energy-consumption-sch.
BibTeX@misc{4ortxyz_multi-auv-dynamic-trajectory-optimization-and-collaborative-search-combined-with-task-urgency-and-energy-consumption-sch_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-AUV dynamic trajectory optimization and collaborative search combined with task urgency and energy consumption scheduling in 3-D underwater environment with random ocean currents and uncertain obstacles}}, year = {2026}, url = {https://4ort.xyz/entity/multi-auv-dynamic-trajectory-optimization-and-collaborative-search-combined-with-task-urgency-and-energy-consumption-sch}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-AUV dynamic trajectory optimization and collaborative search combined with task urgency and energy consumption scheduling in 3-D underwater environment with random ocean currents and uncertain obstacles — https://4ort.xyz/entity/multi-auv-dynamic-trajectory-optimization-and-collaborative-search-combined-with-task-urgency-and-energy-consumption-sch (retrieved 2026-05-24)