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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dirafzoon, A. Betthauser, J. Schornick, J. Benavides, D. Lobaton, E. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA (Dirafzoon, A.; Betthauser, J.; Schornick, J.; Benavides, D.; Lobaton, E.) |
| Abstract | Swarms consisting of cyborg-insects or millirobots can be used for mapping and exploration of unstructured environments in emergency-response situations. Under extreme conditions, traditional localization techniques may fail to provide reliable position estimates. Instead, we propose a robust approach to obtain a topological map of an unknown environment using encounter information from a swarm of agents following a stochastic motion model via the use of tools from topological data analysis. A classification approach is introduced to determine the persistent topology features of the space. The approach is analyzed using simulation and experimental data using a swarm robotic platform called the WolfBot. For all experiments, the agents are programmed to follow a stochastic motion model and only rely on encounter information between agents to construct a map of the environment. The results indicate that the proposed approach can identify robust topological features with high accuracy. |
| Starting Page | 3842 |
| Ending Page | 3849 |
| File Size | 2732410 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781479969340 |
| DOI | 10.1109/IROS.2014.6943102 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Three-dimensional displays Measurement Feature extraction Robot sensing systems Robustness |
| Content Type | Text |
| Resource Type | Article |
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