Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.20965/jrm.2017.p0877 |
Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration | |
Uwano, Fumito; Tajima, Yusuke; Murata, Akinori; Takadama, Keiki | |
通讯作者 | Uwano, F |
来源期刊 | JOURNAL OF ROBOTICS AND MECHATRONICS
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ISSN | 0915-3942 |
EISSN | 1883-8049 |
出版年 | 2017 |
卷号 | 29期号:5页码:877-886 |
英文摘要 | Contributing toward continuous planetary surface exploration by a rover (i.e., a space probe), this paper proposes (1) an adaptive learning mechanism as the software system, based on an exploration-biased genetic algorithm (EGA), which intends to explore several behaviors, and (2) a recovery system as the hardware system, which helps a rover exit stuck areas, a kind of immobilized situation, by testing the explored behaviors. We develop a rover-type space probe, which has a stabilizer with two movable joints like an arm, and learns how to use them by employing EGA. To evaluate the effectiveness of the recovery system based on the EGA, the following two field experiments are conducted with the proposed rover: (i) a small field test, including a stuck area created artificially in a park; and (ii) a large field test, including several stuck areas in Black Rock Desert, USA, as an analog experiment for planetary exploration. The experimental results reveal the following implications: (1) the recovery system based on the EGA enables our rover to exit stuck areas by an appropriate sequence of motions of the two movable joints; and (2) the success rate of getting out of stuck areas is 95% during planetary exploration. |
英文关键词 | adaptive learning genetic algorithm rover stabilizer planetary exploration |
类型 | Article |
语种 | 英语 |
收录类别 | ESCI |
WOS记录号 | WOS:000413399700012 |
WOS类目 | Robotics |
WOS研究方向 | Robotics |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/332330 |
作者单位 | [Uwano, Fumito] Univ Electrocommun, 1-5-1 Chofugaoka, Chofu, Tokyo 1828585, Japan; [Tajima, Yusuke] Univ Electrocommun, Grad Sch Informat & Engn, 1-5-1 Chofugaoka, Chofu, Tokyo 1828585, Japan; [Murata, Akinori] Univ Electrocommun, Grad Sch Informat, 1-5-1 Chofugaoka, Chofu, Tokyo 1828585, Japan; [Takadama, Keiki] Univ Electrocommun, Dept Informat, 1-5-1 Chofugaoka, Chofu, Tokyo 1828585, Japan |
推荐引用方式 GB/T 7714 | Uwano, Fumito,Tajima, Yusuke,Murata, Akinori,et al. Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration[J],2017,29(5):877-886. |
APA | Uwano, Fumito,Tajima, Yusuke,Murata, Akinori,&Takadama, Keiki.(2017).Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration.JOURNAL OF ROBOTICS AND MECHATRONICS,29(5),877-886. |
MLA | Uwano, Fumito,et al."Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration".JOURNAL OF ROBOTICS AND MECHATRONICS 29.5(2017):877-886. |
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