2021
DOI: 10.1051/e3sconf/202123400044
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Obstacle avoidance behavior of an autonomous mobile robot in a radioactive environment based on fuzzy logic

Abstract: Five years after the Fukushima nuclear disaster, many robots have been developed to enter areas that are too radioactive for humans, in the event of a nuclear accident, measuring the level of radioactivity can be difficult and risky. A new detection system has been developed to come to the aid of plant operators and managers in certain emergency situations. While navigating in a radioactive environment and looking for sources.to facilitate this operation and make it safer, we have to assess the autonomy of thi… Show more

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Cited by 3 publications
(3 citation statements)
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“…Therefore, reasonable obstacle avoidance and navigation algorithms are crucial to the practicality of mobile robots. Common obstacle avoidance and navigation algorithms include the Bug algorithm 5 , fuzzy control algorithm 6 , and artificial potential field algorithm (APF) 7 .…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, reasonable obstacle avoidance and navigation algorithms are crucial to the practicality of mobile robots. Common obstacle avoidance and navigation algorithms include the Bug algorithm 5 , fuzzy control algorithm 6 , and artificial potential field algorithm (APF) 7 .…”
Section: Introductionmentioning
confidence: 99%
“…Various kinds of robots for applications such as monitoring equipment conditions [1][2][3][4], radiation measurements [5,6], etc., are needed in nuclear environments to replace manual work and protect personal safety [7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…A crawler robot combined with Compton cameras [6] was used for radiation imaging and recognizing radioactive contamination in Fukushima Daiichi NPP. In order to navigate in radioactive environments and search for sources in nuclear accidents, obstacle avoidance robots [1] were developed based on fuzzy logic.…”
Section: Introductionmentioning
confidence: 99%