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Parametric L-systems-based modeling self-reconfiguration of modular robots in obstacle environments

Dongyang Bie, Yulin Wang, Yu Zhang, Che Liu, Jie Zhao, Yanhe Zhu

发表年份
2018
引用次数
10
访问权限
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摘要

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.

关键词

Control reconfigurationModular designComputer scienceSelf-reconfiguring modular robotRobotObstacleDistributed computingParametric statisticsFormalism (music)Key (lock)

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