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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tolley, M.T. Kalontarov, M. Neubert, J. Erickson, D. Lipson, H. |
| Copyright Year | 2004 |
| Abstract | Modular robotic systems typically assemble using deterministic processes where modules are directly placed into their target position. By contrast, stochastic modular robots take advantage of ambient environmental energy for the transportation and delivery of robot components to target locations, thus offering potential scalability. The inability to precisely predict component availability and assembly rates is a key challenge for planning in such environments. Here, we describe a computationally efficient simulator to model a modular robotic system that assembles in a stochastic fluid environment. This simulator allows us to address the challenge of planning for stochastic assembly by testing a series of potential strategies. We first calibrate the simulator using both high-fidelity computational fluid-dynamics simulations and physical experiments. We then use this simulator to study the effects of various system parameters and assembly strategies on the speed and accuracy of assembly of topologically different target structures. |
| Sponsorship | IEEE Robotics and Automation Society |
| Starting Page | 518 |
| Ending Page | 530 |
| Page Count | 13 |
| File Size | 1587420 |
| File Format | |
| ISSN | 15523098 |
| Volume Number | 26 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robotic assembly Stochastic systems Assembly systems Computational modeling Stochastic processes Robots Transportation Scalability Strategic planning Testing stochastic robotics Biologically inspired robots cellular and modular robots fluidic assembly |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications |
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