Presentation 2018-02-17
Target search strategy using estimated view
Kazuto Murakami, Jun Rokui,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Communication has generally been used for the target search. It is necessary to prepare the environment to communicate for the target search. In this paper, we propose the perform target search using autonomous agent that does not require communication. The information acquired by a autonomous agent is visual only. Proposed agent predicts the location of the target using visual information. We will conduct comparative experiments and confirm the usefulness of the proposed method. As a result, we achieve to perform target search quickly by the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Genetic algorithm / Decision tree / Target search / Agent / Drone
Paper # AI2017-24
Date of Issue 2018-02-10 (AI)

Conference Information
Committee AI
Conference Date 2018/2/17(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tsunenori Mine(Kyushu Univ.)
Vice Chair Daisuke Katagami(Tokyo Polytechnic Univ.) / Naoki Fukuta(Shizuoka Univ.)
Secretary Daisuke Katagami(Ritsumeikan Univ.) / Naoki Fukuta(Univ. of Electro-Comm.)
Assistant Yuko Sakurai(AIST)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Target search strategy using estimated view
Sub Title (in English)
Keyword(1) Genetic algorithm
Keyword(2) Decision tree
Keyword(3) Target search
Keyword(4) Agent
Keyword(5) Drone
1st Author's Name Kazuto Murakami
1st Author's Affiliation Shimane University(Shimane Univ)
2nd Author's Name Jun Rokui
2nd Author's Affiliation Shimane University(Shimane Univ)
Date 2018-02-17
Paper # AI2017-24
Volume (vol) vol.117
Number (no) AI-440
Page pp.pp.37-42(AI),
#Pages 6
Date of Issue 2018-02-10 (AI)