The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2020
Session ID : 2P1-K15
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SLAM-SEAN for Higher Autonomy of Mobile Robots in Unknown Environment
Jingqiu ZUOTakanobu YAMAMOTO*Tomomichi SUGIHARA
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Abstract

SLAM-SEAN (Simultaneous Localization and Mapping-Simultaneous Exploration and Navigation) framework for a mobile robot to work autonomously in unknown environments is proposed. An implementation of the framework was completed by a combination of a local-minimum-free artificial potential method and a frontier-based approach suggested in the previous work where a particle filter SLAM is involved. The validity of the implementation was verified through simulations. Some other conditions to see applicability of the method to various environments were also discussed.

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© 2020 The Japan Society of Mechanical Engineers
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