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Simbeeotic: a simulator and testbed for micro-aerial vehicle swarm experiments (2012)
| Content Provider | CiteSeerX |
|---|---|
| Author | Kate, Bryan Waterman, Jason Dantu, Karthik Welsh, Matt |
| Description | Micro-aerial vehicle (MAV) swarms are an emerging class of mo-bile sensing systems. Simulation and staged deployment to proto-type testbeds are useful in the early stages of large-scale system design, when hardware is unavailable or deployment at scale is impractical. To faithfully represent the problem domain, a MAV swarm simulator must be able to model the key aspects of the sys-tem: actuation, sensing, and communication. We present Simbee-otic, a simulation framework geared toward modeling swarms of MAVs. Simbeeotic enables algorithm development and rapid MAV prototyping through pure simulation and hardware-in-the-loop ex-perimentation. We demonstrate that Simbeeotic provides the appro-priate level of fidelity to evaluate prototype systems while main-taining the ability to test at scale. In: Proceedings of the 11th International Conference on Information Processing in Sensor Networks, IPSN ’12, ACM |
| File Format | |
| Language | English |
| Publisher Date | 2012-01-01 |
| Access Restriction | Open |
| Subject Keyword | Proto-type Testbeds Early Stage Hardware-in-the-loop Ex-perimentation Micro-aerial Vehicle Swarm Experiment Large-scale System Design Pure Simulation Simbeeotic Enables Mav Swarm Simulator Prototype System Micro-aerial Vehicle Problem Domain Rapid Mav Prototyping Key Aspect Appro-priate Level Simulation Framework |
| Content Type | Text |
| Resource Type | Article |