Integration of Grey Model and Fuzzy system to Estimate the Obstacle Avoidance and Path Planning Robot

DOI

10.2991/icectt-15.2015.65How to use a DOI?

Keywords

laser range finder, obstacle avoidance, Segway, Fuzzy system, Grey system

Abstract

The objective of this thesis is to make an obstacle avoidance and path planning robot by grey system theory. The robot is able to avoid dynamic and static obstacle automatically. The center position is defined by the motor encoders of the Segway RMP 50. The position sensor is a laser ranger finder in this system. It is installed on the top of the Segway to find out the environmental information for the grey obstacle avoidance controller. The robot is able to make an obstacle avoidance automatically.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nezu Tatsuyuki
PY  - 2015/11
DA  - 2015/11
TI  - Integration of Grey Model and Fuzzy system to Estimate the Obstacle Avoidance and Path Planning Robot
BT  - Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation
PB  - Atlantis Press
SP  - 345
EP  - 349
SN  - 2352-5401
UR  - https://doi.org/10.2991/icectt-15.2015.65
DO  - 10.2991/icectt-15.2015.65
ID  - Tatsuyuki2015/11
ER  -