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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Lee, K. Chirikjian, G.S. | 
| Copyright Year | 2010 | 
| Description | Author affiliation: Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA (Chirikjian, G.S.) || Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH 44106, USA (Lee, K.) | 
| Abstract | This paper presents an autonomous self-replicating robot consisting of four low-complexity modules. The entire system is composed of a parent robot, four unassembled modules provided as resources, and an environment where the self-replication takes place. The parent robot grows itself by attaching the resource modules onto itself until it doubles its physical size, and then splits in the middle thereby returning the parent to its original state and producing a daughter robot. We call these processes expansion and separation, respectively. The environment plays a passive role as a catalyst that helps generating a spiral trajectory for the parent robot and does not hold any information about the resource modules. To assess the physical changes made by self-replication, structural and informational complexities associated with the robotic system and the self-replication process are quantified and compared to previous prototypes. | 
| Starting Page | 2771 | 
| Ending Page | 2776 | 
| File Size | 1942940 | 
| Page Count | 6 | 
| File Format | |
| ISBN | 9781424450381 | 
| ISSN | 10504729 | 
| DOI | 10.1109/ROBOT.2010.5509904 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2010-05-03 | 
| Publisher Place | USA | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Robots Robotics and automation Biological systems Joining processes Algorithm design and analysis Biological control systems Control systems Organisms USA Councils Spirals | 
| Content Type | Text | 
| Resource Type | Article | 
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software | 
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