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Enhanced dynamic obstacle avoidance for linked multi-agent systems by an extended hybrid reciprocal velocity obstacle model.

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Title: Enhanced dynamic obstacle avoidance for linked multi-agent systems by an extended hybrid reciprocal velocity obstacle model.
Authors: Estevez, Julian1, julian.estevez@ehu.eus, Manuel Lopez-Guede, Jose2, Del Valle-Echavarri, Javier2, Caballero-Martin, Daniel2, Graña, Manuel3
Source: Integrated Computer-Aided Engineering; Feb2026, Vol. 33 Issue 1, p24-37, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191178098
AccessLevel: 2
PubType: Academic Journal
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  Data: Enhanced dynamic obstacle avoidance for linked multi-agent systems by an extended hybrid reciprocal velocity obstacle model.
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  Data: <searchLink fieldCode="AU" term="%22Estevez%2C+Julian%22">Estevez, Julian</searchLink><relatesTo>1</relatesTo>, <i>julian.estevez@ehu.eus</i><br /><searchLink fieldCode="AU" term="%22Manuel+Lopez-Guede%2C+Jose%22">Manuel Lopez-Guede, Jose</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Del+Valle-Echavarri%2C+Javier%22">Del Valle-Echavarri, Javier</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Caballero-Martin%2C+Daniel%22">Caballero-Martin, Daniel</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Graña%2C+Manuel%22">Graña, Manuel</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Integrated+Computer-Aided+Engineering%22">Integrated Computer-Aided Engineering</searchLink>; Feb2026, Vol. 33 Issue 1, p24-37, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191178098
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      – Type: doi
        Value: 10.1177/10692509251368675
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      – Code: eng
        Text: English
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        PageCount: 14
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            NameFull: Estevez, Julian
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            NameFull: Manuel Lopez-Guede, Jose
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            NameFull: Del Valle-Echavarri, Javier
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              Text: Feb2026
              Type: published
              Y: 2026
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