The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2014
Session ID : 2A1-M03
Conference information
2A1-M03 Partner Robot's Gesture Learning by Interactive Genetic Algorithm(Communication Robot)
Noriko TAKASENaoyuki KUBOTAYasunori SAKATA
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract
Recently, the need of robot partner is increasing. For the coexistence of human and partner robot, the methods of robot's natural communication with human have been discussed. In this paper, we aim to partner robot's gesture autonomous generation and learning for realization of natural communication of human and robot. In gesture generation and learning, we use interactive genetic algorithm to incorporate the subjective evaluation.
Content from these authors
© 2014 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top