Parametric L-systems-based modeling self-reconfiguration of modular robots in obstacle environments
Self-reconfiguration of modular self-reconfigurable robots is a fundamental function that can be used as part of higher-level functionality. Interaction with the environment is a key factor affecting the self-reconfiguration process of modular robots. In this article, a modeling framework that makes...
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Series: | International Journal of Advanced Robotic Systems |
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doaj-b007b50595744d4493af39c4a054fdcd2020-11-25T03:17:35ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142018-02-011510.1177/1729881418754477Parametric L-systems-based modeling self-reconfiguration of modular robots in obstacle environmentsDongyang Bie0Yulin Wang1Yu Zhang2Che Liu3Jie zhao4Yanhe Zhu5 State Key Laboratory of Robotics and System, Harbin Institute of Technology, Haerbin, Heilongjiang Province, People’s Republic of China State Key Laboratory of Robotics and System, Harbin Institute of Technology, Haerbin, Heilongjiang Province, People’s Republic of China State Key Laboratory of Robotics and System, Harbin Institute of Technology, Haerbin, Heilongjiang Province, People’s Republic of China Engineering Science, University of Toronto, Toronto, ON, Canada State Key Laboratory of Robotics and System, Harbin Institute of Technology, Haerbin, Heilongjiang Province, People’s Republic of China State Key Laboratory of Robotics and System, Harbin Institute of Technology, Haerbin, Heilongjiang Province, People’s Republic of ChinaSelf-reconfiguration of modular self-reconfigurable robots is a fundamental function that can be used as part of higher-level functionality. Interaction with the environment is a key factor affecting the self-reconfiguration process of modular robots. In this article, a modeling framework that makes it possible to simulate and visualize the interactions at the level of decentralized modules will be introduced. The framework extends the formalism of Lindenmayer systems (L-systems) with constructs needed to model robotic information exchanged between decentralized modules and their surrounding environments. Both the construction of target configurations and environmental sensitive adaption can be handled by extending L-system symbols and reproduction rules. The proposed method is illustrated with simulations capturing the development of branching structures while adapting to environmental obstacles.https://doi.org/10.1177/1729881418754477 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dongyang Bie Yulin Wang Yu Zhang Che Liu Jie zhao Yanhe Zhu |
spellingShingle |
Dongyang Bie Yulin Wang Yu Zhang Che Liu Jie zhao Yanhe Zhu Parametric L-systems-based modeling self-reconfiguration of modular robots in obstacle environments International Journal of Advanced Robotic Systems |
author_facet |
Dongyang Bie Yulin Wang Yu Zhang Che Liu Jie zhao Yanhe Zhu |
author_sort |
Dongyang Bie |
title |
Parametric L-systems-based modeling self-reconfiguration of modular robots in obstacle environments |
title_short |
Parametric L-systems-based modeling self-reconfiguration of modular robots in obstacle environments |
title_full |
Parametric L-systems-based modeling self-reconfiguration of modular robots in obstacle environments |
title_fullStr |
Parametric L-systems-based modeling self-reconfiguration of modular robots in obstacle environments |
title_full_unstemmed |
Parametric L-systems-based modeling self-reconfiguration of modular robots in obstacle environments |
title_sort |
parametric l-systems-based modeling self-reconfiguration of modular robots in obstacle environments |
publisher |
SAGE Publishing |
series |
International Journal of Advanced Robotic Systems |
issn |
1729-8814 |
publishDate |
2018-02-01 |
description |
Self-reconfiguration of modular self-reconfigurable robots is a fundamental function that can be used as part of higher-level functionality. Interaction with the environment is a key factor affecting the self-reconfiguration process of modular robots. In this article, a modeling framework that makes it possible to simulate and visualize the interactions at the level of decentralized modules will be introduced. The framework extends the formalism of Lindenmayer systems (L-systems) with constructs needed to model robotic information exchanged between decentralized modules and their surrounding environments. Both the construction of target configurations and environmental sensitive adaption can be handled by extending L-system symbols and reproduction rules. The proposed method is illustrated with simulations capturing the development of branching structures while adapting to environmental obstacles. |
url |
https://doi.org/10.1177/1729881418754477 |
work_keys_str_mv |
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1724631289606176768 |