{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T01:15:48Z","timestamp":1722993348076},"reference-count":16,"publisher":"Fuji Technology Press Ltd.","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JRM","J. Robot. Mechatron."],"published-print":{"date-parts":[[2017,10,20]]},"abstract":"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.<\/jats:p>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.<\/jats:p>","DOI":"10.20965\/jrm.2017.p0877","type":"journal-article","created":{"date-parts":[[2017,10,20]],"date-time":"2017-10-20T06:02:28Z","timestamp":1508479348000},"page":"877-886","source":"Crossref","is-referenced-by-count":4,"title":["Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration"],"prefix":"10.20965","volume":"29","author":[{"given":"Fumito","family":"Uwano","sequence":"first","affiliation":[]},{"name":"The University of Electro-Communications 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan","sequence":"first","affiliation":[]},{"given":"Yusuke","family":"Tajima","sequence":"additional","affiliation":[]},{"given":"Akinori","family":"Murata","sequence":"additional","affiliation":[]},{"given":"Keiki","family":"Takadama","sequence":"additional","affiliation":[]}],"member":"8550","published-online":{"date-parts":[[2017,10,20]]},"reference":[{"key":"key-10.20965\/jrm.2017.p0877-1","unstructured":"E. 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