NDLI: A bio-inspired developmental approach to swarm robots self-organization

Content Provider	IEEE Xplore Digital Library
Author	Yan Meng Hongliang Guo
Copyright Year	2012
Description	Author affiliation: Almende Organizing Networks, Westerstraat 50, 3016 DJ Rotterdam, Netherlands (Hongliang Guo) \|\| Department of Electrical and Computer Engineering, Stevens Institute of Technology, NJ 07670, USA (Yan Meng)
Abstract	Morphogenesis is the biological process in which a fertilized cell divides, cells migrate and interact with each other, and finally resulting in the mature body plan under the control of gene regulatory networks (GRNs). Recently, biological discovered that 85% of the gene-gene regulation networks are composed of frequently recurring network patterns, which are called network motifs. Inspired by these biological studies, in this paper, we propose a developmental approach, i.e., network motifs based gene regulatory network model (NM-GRN), for self-organization of swarm robots to autonomously generate dynamic patterns to adapt to uncertain environments. First, a general GRN model is proposed with several predefined network motifs as basic building blocks, then an evolutionary algorithm is applied to evolve parameters and the structures of the NM-GRN model based on these basic building blocks. Experimental results demonstrate that the proposed bio-inspired model is effective for complex shape generation and robust to environmental changes in complex environments.
Starting Page	3512
Ending Page	3517
File Size	432944
Page Count	6
File Format	PDF
ISBN	9781467317375
ISSN	21530858
e-ISBN	9781467317368
DOI	10.1109/IROS.2012.6385951
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-07
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Robot kinematics Biological system modeling Proteins Robot sensing systems
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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