01742nas a2200373   4500000000100000000000100001008004100002653001900043653001800062653002600080653002100106653003400127653001500161653002100176653001900197653002000216653001800236653001700254653001100271653001900282653001800301653001800319100001200337700001200349700001100361700001600372700001400388700001200402245011000414300001200524490000700536520080500543022002001348                                       d10aBunraku puppet10aDeep learning10aEmotional expressions10aExpress emotions10aIntangible cultural heritages10aJo-Ha-Kyū10aLearning methods10aMachine design10aMotion analysis10aMotion design10aRobot motion10aRobots10aUncanny valley10aDeep learning10amotion design1 aR. Dong1 aY. Chen1 aD. Cai1 aS. Nakagawa1 aT. Higaki1 aN. Asai00aRobot motion design using bunraku emotional expressions–focusing on Jo-Ha-Kyū in sounds and movements*  a299-3120 v343 aOne of the UNESCO intangible cultural heritages Bunraku puppets can play one of the most beautiful puppet motions in the world. The Bunraku puppet motions can express emotions without the so-called ‘Uncanny Valley.’ We try to convert these emotional motions into robot affective motions so that robots can interact with human beings more comfortable. In so doing, in the present paper, we present a robot motion design framework using Bunraku affective motions that are based on the so-called ‘Jo-Ha-Kyū,’ and convert a few simple Bunraku motions into a robot motions using one of deep learning methods. Our primitive experiments show that Jo-Ha-Kyū can be incorporated into robot motion design smoothly, and some simple affective robot motions can be designed using our proposed framework.  a01691864 (ISSN)