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Application of path planning based on Artificial Potential Fields to mobile robots with distributed processing

PEIXOTO, K. P.; COUTINHO, P. H. S.; ARAUJO, A. C.; ALMEIDA, B. P. S.; SOUTO, F. H. S.; CHAGAS, T. P.; SCHNITMAN, L

2018 • X Congresso Nacional de Engenharia Mecânica • 1 citações

Resumo

Resumo

This paper presents an autonomous nonholonomic differential drive mobile robot through processing entirely embedded. For this purpose, an Artificial Potential Field (APF) algorithm was used for local path planning and trajectory controller. The proposed APF algorithm uses vortex field to avoid null resultant potential field points and predicts future positions using odometry as an alternative to compensate processing times and serial communication lags. Furthermore, the robot has an isolated and decentralized processing architecture using Arduino Mega and Raspberry PI as embedded systems. Simulated and real experiments strongly suggest the effectiveness of the proposed path planning algorithm for real-time applications.

palavras-chave

Palavras-chave

path planningartificial potential fieldmobile robotsdistributed computingrobot navigation

Status

Published

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