FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2025211736> ?p ?o ?g. }

• W2025211736 abstract "This paper presents an algorithm for adaptive cooperative exploration of a priori unknown environments using a team of unmanned systems (e.g., autonomous underwater vehicles (AUVs)). These systems are required to perform time-critical operations either with very limited human supervision or as fully autonomous entities. Typical operations include exploration, terrain-map generation, searching and rescuing targets from hazardous situations, cleaning of chemical spills, humanitarian de-mining (i.e., mine counter measures (MCM)), and detection of underwater mobile targets (i.e., anti-submarine warfares (ASW)). Furthermore, these unmanned systems have an a priori decided plan of action that is computed offline using multi-objective optimization methods. However, these optimization methods do not include uncertainties such as unknown objects (e.g., obstacles) and changing environment. Thus, these autonomous systems must be capable of adapting their navigation trajectories quickly as the knowledge of the environment changes. The new information is acquired in situ by onboard sensing. In this regard, this paper focuses on the problem of complete coverage of a priori unknown environments using a team of autonomous underwater vehicles and introduces a novel method based on the concepts of Statistical Mechanics. A key feature of this method is that the underlying algorithm relies on the notion of multiresolution navigation that consists of local and global navigation functions depending on the amount of spatiotemporal information needed for making the navigation decision. This feature supplies two potential advantages to the algorithm: i) the Local Navigation Potential (LNP) provides a reduced computational complexity in making real-time locally optimal navigation decisions via avoiding unnecessary global calculations and ii) the Global Navigation Potentials (GNPs), that are organized in a hierarchical manner, prevent the algorithm from getting stuck into a local extremum. The algorithm switches from the local to the global navigation and vice versa as needed. The autonomous systems share information with nearest neighbors for collaboration. This algorithm guarantees complete coverage of the search area and inherently prevents the problem of local minima that is commonly encountered in potential field based methods. The efficacy of the algorithm is validated on the high-fidelity Player/Stage simulator of mobile robots." @default.
• W2025211736 created "2016-06-24" @default.
• W2025211736 creator A5009542299 @default.
• W2025211736 creator A5009627504 @default.
• W2025211736 creator A5079373263 @default.
• W2025211736 date "2012-10-01" @default.
• W2025211736 modified "2023-10-17" @default.
• W2025211736 title "Cooperative coverage using autonomous underwater vehicles in unknown environments" @default.
• W2025211736 cites W1608481154 @default.
• W2025211736 cites W1977633932 @default.
• W2025211736 cites W2067168270 @default.
• W2025211736 cites W2088541629 @default.
• W2025211736 cites W2093385687 @default.
• W2025211736 cites W2119559506 @default.
• W2025211736 cites W2125409550 @default.
• W2025211736 cites W2304832331 @default.
• W2025211736 cites W4242811155 @default.
• W2025211736 cites W4247582681 @default.
• W2025211736 doi "https://doi.org/10.1109/oceans.2012.6405115" @default.
• W2025211736 hasPublicationYear "2012" @default.
• W2025211736 type Work @default.
• W2025211736 sameAs 2025211736 @default.
• W2025211736 citedByCount "9" @default.
• W2025211736 countsByYear W20252117362013 @default.
• W2025211736 countsByYear W20252117362014 @default.
• W2025211736 countsByYear W20252117362015 @default.
• W2025211736 countsByYear W20252117362016 @default.
• W2025211736 countsByYear W20252117362017 @default.
• W2025211736 countsByYear W20252117362020 @default.
• W2025211736 crossrefType "proceedings-article" @default.
• W2025211736 hasAuthorship W2025211736A5009542299 @default.
• W2025211736 hasAuthorship W2025211736A5009627504 @default.
• W2025211736 hasAuthorship W2025211736A5079373263 @default.
• W2025211736 hasConcept C110071780 @default.
• W2025211736 hasConcept C111368507 @default.
• W2025211736 hasConcept C127313418 @default.
• W2025211736 hasConcept C127413603 @default.
• W2025211736 hasConcept C145424490 @default.
• W2025211736 hasConcept C154945302 @default.
• W2025211736 hasConcept C199104240 @default.
• W2025211736 hasConcept C19966478 @default.
• W2025211736 hasConcept C41008148 @default.
• W2025211736 hasConcept C90509273 @default.
• W2025211736 hasConcept C98083399 @default.
• W2025211736 hasConceptScore W2025211736C110071780 @default.
• W2025211736 hasConceptScore W2025211736C111368507 @default.
• W2025211736 hasConceptScore W2025211736C127313418 @default.
• W2025211736 hasConceptScore W2025211736C127413603 @default.
• W2025211736 hasConceptScore W2025211736C145424490 @default.
• W2025211736 hasConceptScore W2025211736C154945302 @default.
• W2025211736 hasConceptScore W2025211736C199104240 @default.
• W2025211736 hasConceptScore W2025211736C19966478 @default.
• W2025211736 hasConceptScore W2025211736C41008148 @default.
• W2025211736 hasConceptScore W2025211736C90509273 @default.
• W2025211736 hasConceptScore W2025211736C98083399 @default.
• W2025211736 hasLocation W20252117361 @default.
• W2025211736 hasOpenAccess W2025211736 @default.
• W2025211736 hasPrimaryLocation W20252117361 @default.
• W2025211736 hasRelatedWork W1485496002 @default.
• W2025211736 hasRelatedWork W1527864104 @default.
• W2025211736 hasRelatedWork W1991425210 @default.
• W2025211736 hasRelatedWork W2041321216 @default.
• W2025211736 hasRelatedWork W2766443956 @default.
• W2025211736 hasRelatedWork W2904852120 @default.
• W2025211736 hasRelatedWork W3038299830 @default.
• W2025211736 hasRelatedWork W4286276703 @default.
• W2025211736 hasRelatedWork W4310520215 @default.
• W2025211736 hasRelatedWork W830136518 @default.
• W2025211736 isParatext "false" @default.
• W2025211736 isRetracted "false" @default.
• W2025211736 magId "2025211736" @default.
• W2025211736 workType "article" @default.