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Nature provides us with many examples of ingenious sensors and systems at the service of animal behavior, which can be transferred into innovative systems for the control of MicroAir Vehicles (MAVs). Winged insects demonstrate daunting behaviors in spite of the poor resolution of their visual system. For more than 100 million years, they have been navigating in unfamiliar 3D environments by relying on optic flow (OF) cues. To sense and react to the flowing image of the environment, insects are equipped with smart sensors called Elementary Motion Detectors (EMDs) that can act as optic flow sensors (figure 1). The principle of our bio-inspired optic flow sensors is based on findings obtained at our laboratory on the common housefly’s EMDs, by performing electrophysiological recordings on single neuron while applying optical microstimuli to two single photoreceptors cells within a single ommatidium (Franceschini, 1985, Franceschini et al. 1989). The OF-field gives the angular velocity (in rad/s) at which any contrasting object in the environment is moving past the eye (Koenderink, 1986). One lesson we have learned from insects is that they are able to navigate swiftly through the most unpredictable environments without using any velocimeters or rangefinders. Insects rely on optic flow to avoid collisions (Collett, 1980; Wagner, 1982; Tammero and Dickinson, 2002), to follow a corridor (Kirchner and Srinivasan, 1989; Baird et al. 2005; Ruffier et al., 2007; Serres et al., 2007; Serres et al. 2008), to follow the terrain (William, 1965; Srygley and Oliveira, 2001), to fly against wind (Kennedy 1939, Kennedy 1951), and to cruise and land (Srinivasan et al., 1996), for example. Interestingly, insects seem to maintain a constant optic flow with respect to their surrounding environment while cruising and landing (Kennedy, 1951; David, 1978, Srinivasan et al. 1996, 2000). Several MAV autopilots were built in recent years which show how insects could achieve this feat by using a feedback control system called the optic flow regulator (Ruffier and Franceschini, 2003, 2005, Serres et al. 2008). Future MAVs’ visual guidance systems may have to incorporate optic flow sensors covering various parts of the visual field, like insects do (Figure 2). The biorobotic approach developed at our laboratory over the past 20 years enabled us to construct several terrestrial and aerial robots based on OF sensing (Pichon et al., 1989, Franceschini et al., 1992, 1997; Mura and Franceschini, 1996; Netter and Franceschini., 2002,

Field Programmable Gate Array (FPGA) for Bio-Inspired Visuo-Motor Control Systems Applied to Micro-Air Vehicles