Analog versus digital: extrapolating from electronics to neurobiology
Neural Computation
Programming micro-aerial vehicle swarms with karma
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Egomotion estimation with optic flow and air velocity sensors
Biological Cybernetics
Simbeeotic: a simulator and testbed for micro-aerial vehicle swarm experiments
Proceedings of the 11th international conference on Information Processing in Sensor Networks
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As part of the Robobee project, we have modified a coaxial helicopter to operate using a discrete time map-based neuronal network for the control of heading, altitude, yaw, and odometry. Two concepts are presented: 1. A model for the integration of sensory data into the neural network. 2. A function for transferring the instantaneous spike frequency of motor neurons to a pulse width modulated signal required to drive motors and other types of actuators. The helicopter is provided with a flight vector and distance to emulate the information conveyed by the honeybee's waggle dance. This platform allows for the testing of proposed networks for adaptive navigation in an effort to simulate honeybee foraging on a flying robot.