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33 results on '"Bie, Dongyang"'

1. A BAS-Based Strategy for Redundant Manipulator Tracking Continuous Moving Object in 3D Relative Velocity Coordinate

Author

Luo, Mengde, Bie, Dongyang, Qin, Yanding, Han, Jianda, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Xin-Jun, editor, Nie, Zhenguo, editor, Yu, Jingjun, editor, Xie, Fugui, editor, and Song, Rui, editor

Published
2021
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2. A Bio-inspired Self-reparation Approach for Lattice Self-reconfigurable Modular Robots

Author

Bie, Dongyang, Zhang, Yu, Zhao, Xingang, Zhu, Yanhe, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yu, Haibin, editor, Liu, Jinguo, editor, Liu, Lianqing, editor, Ju, Zhaojie, editor, Liu, Yuwang, editor, and Zhou, Dalin, editor

Published
2019
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4. An Approach to the Bio-Inspired Control of Self-reconfigurable Robots

Author

Bie, Dongyang, Gutiérrez-Naranjo, Miguel A., Zhao, Jie, Zhu, Yanhe, Barbosa, Simone Diniz Junqueira, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, He, Cheng, editor, Mo, Hongwei, editor, Pan, Linqiang, editor, and Zhao, Yuxin, editor

Published
2017
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16. A membrane computing framework for self-reconfigurable robots

Author

Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial, National Natural Science Foundation of China, State Key Laboratory of Robotics, Bie, Dongyang, Gutiérrez Naranjo, Miguel Ángel, Zhao, Jie, Zhu, Yanhe, Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial, National Natural Science Foundation of China, State Key Laboratory of Robotics, Bie, Dongyang, Gutiérrez Naranjo, Miguel Ángel, Zhao, Jie, and Zhu, Yanhe

Abstract

Self-reconfigurable robots are built by modules which can move in relationship to each other, which allows the robot to change its physical form. Finding a sequence of module moves that reconfigures the robot from the initial configuration to the goal configuration is a hard task and many control algorithms have been proposed. In this paper, we present a novel method 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. This new approach has been tested with computer simulations and real-world experiments performed with modular self-reconfigurable robots and represents a new point of view with respect other control methods found in the literature.

Published
2019

20. Automatic Generation of Locomotion Patterns for Soft Modular Reconfigurable Robots.

Author

Sui, Xin, Cai, Hegao, Bie, Dongyang, Zhang, Yu, Zhao, Jie, and Zhu, Yanhe

Subjects
SOFT robotics, ROBOTS, EVOLUTIONARY computation, SIMULATION software, EVOLUTIONARY algorithms, ROBOT programming, PROCESS optimization, THREE-dimensional modeling
Abstract

In recent years, soft modular robots have become popular among researchers with the development of soft robotics. However, the absence of a visual 3D simulation platform for soft modular robots hold back the development of the field. The three-dimensional simulation platform plays an important role in the field of multi-body robots. It can shorten the design cycle, reduce costs, and verify the effectiveness of the optimization algorithm expediently. Equally importantly, evolutionary computation is a very effective method for designing the controller of multi-body robots and soft robots with hyper redundancy and large parametric design space. In this paper, a tradeoff between the structural complexity of the soft modular robot and computational power of the simulation software is made. A reconfigurable soft modular robot is designed, and the open-source simulation software VOXCAD is re-developed to simulate the actual soft robot. The evolutionary algorithm is also applied to search for the most efficient motion pattern for an established configuration in VOXCAD, and experiments are conducted to validate the results. [ABSTRACT FROM AUTHOR]

Published
2020
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23. An Approach to the Bio-Inspired Control of Self-reconfigurable Robots

Author

Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial, National Natural Science Foundation of China, Bie, Dongyang, Gutiérrez Naranjo, Miguel Ángel, Zhao, Jie, Zhu, Yanhe, Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial, National Natural Science Foundation of China, Bie, Dongyang, Gutiérrez Naranjo, Miguel Ángel, Zhao, Jie, and Zhu, Yanhe

Abstract

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.

Published
2017

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