Ponencia
An Approach to the Bio-Inspired Control of Self-reconfigurable Robots
Autor/es | Bie, Dongyang
Gutiérrez Naranjo, Miguel Ángel Zhao, Jie Zhu, Yanhe |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2017 |
Fecha de depósito | 2021-04-07 |
Publicado en |
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ISBN/ISSN | 978-981-10-7178-2 |
Resumen | Self-reconfigurable robots are robots built by modules which
can move in relationship to each other. This ability of changing its physical
form provides the robots a high level of adaptability and robustness.
Given an ... Self-reconfigurable robots are robots built by modules which can move in relationship to each other. This ability of changing its physical form provides the robots a high level of adaptability and robustness. Given an initial configuration and a goal configuration of the robot, the problem of self-regulation consists on finding a sequence of module moves that will reconfigure the robot from the initial configuration to the goal configuration. In this paper, we use a bio-inspired method for studying this problem which combines a cluster-flow locomotion based on cellular automata together with a decentralized local representation of the spatial geometry based on membrane computing ideas. A promising 3D software simulation and a 2D hardware experiment are also presented. |
Agencias financiadoras | National Natural Science Foundation of China |
Identificador del proyecto | No. 61673137 |
Cita | Bie, D., Gutiérrez Naranjo, M.Á., Zhao, J. y Zhu, Y. (2017). An Approach to the Bio-Inspired Control of Self-reconfigurable Robots. En BIC-TAC 2017: 12th International Conference on Bio-Inspired Computing: Theories and Applications (24-38), Harbin, China: Springer. |
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