Neuro-fuzzy mobile robot navigation

Added Title

IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (10th : 2018)
HNICEM 2018

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018

Publication Date

3-12-2019

Abstract

In mobile robot navigation, it is fundamental to have goal seeking and obstacle avoidance in the navigation algorithm. In this paper neural networks are used to learn both goal seeking and obstacle avoidance from a dataset generated by two different fuzzy logic navigation algorithms. The neural network was able to learn from both algorithms and produce a smoother path than the two. Additionally, a neural network was able to learn how to escape a concave obstacle.

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Digitial Object Identifier (DOI)

10.1109/HNICEM.2018.8666348

Disciplines

Manufacturing

Keywords

Fuzzy logic; Mobile robots; Motion control devices

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