著者
佐藤 優也 原田 研介 酒田 信親 万 偉偉 ラミレス イクシェル
出版者
一般社団法人 日本機械学会
雑誌
日本機械学会論文集 (ISSN:21879761)
巻号頁・発行日
vol.84, no.861, pp.17-00546-17-00546, 2018 (Released:2018-05-25)
参考文献数
19
被引用文献数
1

In this paper, we propose a novel two-stage approach on picking an object from randomly stacked pile. We especially consider a situation where it is difficult for a 3D depth sensor to identify the pose of objects such as shinny ones and black ones. For such objects, our method first roughly grasps some of the objects from the pile without using the visual information and roughly place them onto a working table. After some of the objects are placed on a working table, a robot picks one of them by detecting the 2D position of objects placed on a working table by using the 2D RGB image. We performed experiments for several objects with different shape and weight. Through experimental study, we confirmed that a robot can identify the position of one of the objects after the objects are placed on a working table and that one of the objects can be successfully picked up by a robot.
著者
福田 光佑 ラミレス イクシェル 山野辺 夏樹 プティ ダミアン 原田 研介
出版者
一般社団法人 日本機械学会
雑誌
ロボティクス・メカトロニクス講演会講演概要集
巻号頁・発行日
vol.2018, pp.2A1-F17, 2018

<p>In this work, we propose a recognition system for assembly motions performed by humans, with the aim of generating and re-using robot motions stored in a database. An affordance model for each manipulated object is proposed to efficiently search for matching actions. Based on this model we design motion templates containing a set of basic motions associated to the manipulated objects. Recognition of motion data is done using the proposed motion templates and Hidden Markov Models. We verify the validity of the proposed method using three different assembly tasks.</p>