Abstract | ||
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In robotics, the kidnapped robot problem commonly refers to a situation where an autonomous robot in operation is carried to an arbitrary location[1]. This is a very serious issue, and because the robot only computes its position in accordance with mathematical models, it is difficult to determine whether or not its position is being accurately reported. In this paper, to solve the kidnapped-robot problem, we suggest a method of automatic detection and recovery, using the entropy extracted from measurement likelihoods in our own technique of semantic localization. We verify the usefulness of the proposed procedure via repeated indoor localization experiments. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-27180-9_36 | Communications in Computer and Information Science |
Field | DocType | Volume |
Artificial intelligence,Autonomous robot,Robot,Mathematical model,Mathematics,Robotics,Mobile robot,Kidnapped robot problem | Conference | 261 |
ISSN | Citations | PageRank |
1865-0929 | 2 | 0.41 |
References | Authors | |
11 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chuho Yi | 1 | 39 | 6.22 |
Byung-Uk Choi | 2 | 50 | 14.62 |