The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2019
Session ID : 1A1-F09
Conference information

Reserch on automatic construction of hierarchical environmental map
*Kouhei YAMAMOTOShinya FUKUMOTOMasayuki KASHIMAKiminori SATOMutsumi WATANABE
Author information
CONFERENCE PROCEEDINGS RESTRICTED ACCESS

Details
Abstract

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.

Content from these authors
© 2019 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top