Research on Navigation and Obstacle Avoidance Algorithm for Autonomous Mobile Robot in Narrow Area

Huan Xun Li; Jun Jie Shen; Shuai Guo

doi:10.4028/www.scientific.net/KEM.464.204

Paper Titles

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A New Control Strategy of Five-Phase Permanent-Magnet Motor Drives with a Third Harmonic Current Injection
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Kinematic Analysis and Simulation on Parallel Vibration Reduction Seat
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An Efficient Slicing Algorithm for Asynchronous Linear Hotwire Cutting System of Expandable Polystyrene Foam
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Research on Navigation and Obstacle Avoidance Algorithm for Autonomous Mobile Robot in Narrow Area
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FEM Simulation of a Twin-Island Structure Chip in Piezoresistive Pressure Sensor
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Tolerance & Fit Query and Dimensioning Program Development in AutoCAD
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A Continuous Control for Stabilizing the Extended Nonholonomic Double Integrator
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Synthesis and Investigation on the Mechanical Properties of the Polypyrrole Film Doped with P-Toluene Solfonate
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 464Research on Navigation and Obstacle Avoidance...

Research on Navigation and Obstacle Avoidance Algorithm for Autonomous Mobile Robot in Narrow Area

Abstract:

In order to improve the accuracy and security when autonomous mobile robot moves in narrow area, a real-time navigation and obstacle avoidance algorithm is put forward. The feature extraction method is used to search for the path points, and the angle potential field method is used to search for the target angle. Based on the two methods more accurate environment modeling and navigation for mobile robot in narrow area is realized. The algorithm has been used successfully in the household robot, and the experiment results show it’s accurate and real-time.

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Periodical:

Key Engineering Materials (Volume 464)

Pages:

204-207

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.464.204

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Online since:

January 2011

Authors:

Huan Xun Li, Jun Jie Shen, Shuai Guo

Keywords:

Angle Potential Field, Feature Extraction, Laser, Narrow Area

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