ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 1A1-F09
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階層型環境地図の自動構築に関する研究
*山本 泰平福元 伸也鹿嶋 雅之佐藤 公則渡邊 睦
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Social advancement of robots has become remarkable, and there are many opportunities to see in daily life. Therefore, in this paper we proposed a new method for creating an environmental map of a robot. In the conventional method, object information was included after map creation in order to include object information. The method proposed in this paper automates the creation of environment map including object information by creating deep learning in real time when creating the environment map. It is thought that this makes it possible to give general versatility to robot action decisions. Experimental results showed the effectiveness of the proposed method.

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