GloMoSim: a library for parallel simulation of large-scale wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
breve: a 3D environment for the simulation of decentralized systems and artificial life
ICAL 2003 Proceedings of the eighth international conference on Artificial life
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
EmStar: a software environment for developing and deploying wireless sensor networks
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
Cooperative manipulation and transportation with aerial robots
Autonomous Robots
Programming micro-aerial vehicle swarms with karma
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
The First Takeoff of a Biologically Inspired At-Scale Robotic Insect
IEEE Transactions on Robotics
Survey Flying Ad-Hoc Networks (FANETs): A survey
Ad Hoc Networks
A biomimetic neuronal network-based controller for guided helicopter flight
Living Machines'13 Proceedings of the Second international conference on Biomimetic and Biohybrid Systems
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Micro-aerial vehicle (MAV) swarms are an emerging class of mobile sensing systems. Simulation and staged deployment to prototype 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 system: actuation, sensing, and communication. We present Simbeeotic, 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 experimentation. We demonstrate that Simbeeotic provides the appropriate level of fidelity to evaluate prototype systems while maintaining the ability to test at scale.