KnE Engineering

ISSN: 2518-6841

The latest conference proceedings on all fields of engineering.

Algorithms for the Detection and Evasion of Obstacles on a Differential Mobile Platform for Interior Navigation

Published date:Dec 27 2018

Journal Title: KnE Engineering

Issue title: Ibero-American Symposium on Computer Programming jointly held with the International Congress on Technology Education

Pages:191–203

DOI: 10.18502/keg.v3i9.3655

Authors:
Abstract:

In this work, the algorithms necessary to execute displacements that allow indoor navigation for a differential mobile platform were designed, it was considered the programming of an Arduino Nano card connected to ultrasonic sensors that detect the distances of possible objects in the environment, and a Raspberry Pi3 card that is responsible for the activation and control of the platform’s engines. A high level of efficiency of the System was achieved by evading obstacles and protecting the robot structure as much as possible

 

Keywords: algorithms, interior navigation, differential mobile platform, Arduino, Raspberry Pi3

References:

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[2] Song, Z., Schwartz, E. & Mohseni, K. Bioinspired Visual Guidance in Turbid Underwater Environment *. 2–4 (2017).


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[5] Chen, Y., Qi, H. & Liu, X. I. A. MAS-BASED PURSUIT-EVASION ALGORITHM UNDER UNKNOWN ENVIRONMENT. 18–21 (2005).


[6] Siciliano, B., Sciavicco, L., Villani, L. & Oriolo, G. Robotics Modelling, Planning and Control. (2009). doi:10.1007/978-1-84628-642-1


[7] Ollero, A. Robotica Manipuladores y robots moviles. Marcombo S.A (2001).


[8] Holland, J. M. Designing Autonomous Mobile Robots. (2004).


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