@inproceedings{aded496fe82e4f6998833bf10bab6afd,
title = "An improved robot path planning model using cellular automata",
abstract = "Bio-inspired techniques have been successfully applied to the path-planning problem. Amongst those techniques, Cellular Automata (CA) have been seen a potential alternative due to its decentralized structure and low computational cost. In this work, an improved CA model is implemented and evaluated both in simulation and real environments using the e-puck robot. The objective was to construct a collision-free path plan from the robot initial position to the target position by applying the refined CA model and environment pre-processed images captured during its navigation. The simulations and real experiments show promising results on the model performance for a single robot.",
keywords = "Autonomous robotics, Cellular automata, Path-planning",
author = "Martins, {Luiz G.A.} and C{\^a}ndido, {Rafael da P.} and Escarpinati, {Mauricio C.} and Vargas, {Patricia A.} and {de Oliveira}, {Gina M. B.}",
year = "2018",
month = jul,
day = "21",
doi = "10.1007/978-3-319-96728-8_16",
language = "English",
isbn = "9783319967271",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "183--194",
booktitle = "TAROS 2018",
note = "19th Annual Conference on Towards Autonomous Robotic Systems 2018, TAROS 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
}