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State of the art and future trends in obstacle-surmounting unmanned ground vehicle configuration and dynamics

He, Miaolei ; Yue, Xiangdi ; Zheng, Yuling ; Chen, Junxin ; Wu, Shuangqing ; Heng, Zeng ; Zhou, Xuanyi ; Cai, Yaoyi

Robotica, 2023-09, Vol.41 (9), p.2625-2647 [Periódico revisado por pares]

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Título:
State of the art and future trends in obstacle-surmounting unmanned ground vehicle configuration and dynamics
Autor: He, Miaolei ; Yue, Xiangdi ; Zheng, Yuling ; Chen, Junxin ; Wu, Shuangqing ; Heng, Zeng ; Zhou, Xuanyi ; Cai, Yaoyi
Assuntos: Artificial intelligence ; Barriers ; Configurations ; Control algorithms ; Literature reviews ; Robots ; Sensors ; Surveillance ; Unmanned ground vehicles ; Wheels
É parte de: Robotica, 2023-09, Vol.41 (9), p.2625-2647
Descrição: This article presents a review of the platform configuration and dynamic of obstacle-surmounting unmanned ground vehicles (UGVs). For now, unmanned systems have emerged as a result of the rapid advancement of artificial intelligence and modern manufacturing techniques both domestically and internationally. The research on unmanned systems has been improved a lot. The UGV platform can execute transportation, recurring, and military tasks independently. For the high-level self-control, adaption, and maneuverability abilities, the UGV platform has been applied in the military, industry, and other special fields widely. The UGV platform usually performs tasks in an unstructured environment, so the all-terrain performance becomes a key factor restricting their operating efficiency and reliability. A brief literature review of the UGV platform is carried out in this article.
Editor: Cambridge, UK: Cambridge University Press
Idioma: Inglês

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