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An online optimization escape entrapment strategy for planetary rovers based on Bayesian optimization.

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Title: An online optimization escape entrapment strategy for planetary rovers based on Bayesian optimization.
Authors: Guo, Junlong1, Li, Yakuan1, Huang, Bo1, Ding, Liang1, Gao, Haibo1, Zhong, Ming1, zhongming@hit.edu.cn
Source: Journal of Field Robotics; Dec2024, Vol. 41 Issue 8, p2518-2529, 12p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: An online optimization escape entrapment strategy for planetary rovers based on Bayesian optimization.
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  Data: <searchLink fieldCode="AU" term="%22Guo%2C+Junlong%22">Guo, Junlong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Yakuan%22">Li, Yakuan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Huang%2C+Bo%22">Huang, Bo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ding%2C+Liang%22">Ding, Liang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gao%2C+Haibo%22">Gao, Haibo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhong%2C+Ming%22">Zhong, Ming</searchLink><relatesTo>1</relatesTo>, <i>zhongming@hit.edu.cn</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180681721
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        Value: 10.1002/rob.22361
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        Text: English
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              Text: Dec2024
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              Y: 2024
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