Franck RUFFIER

Dr. Franck RUFFIER

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
20 May 2013 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
DFDario Floreano
Dario Floreano
RPRamon Pericet-Camara
Ramon Pericet-Camara
SVStéphane Viollet
Stéphane Viollet
FRFranck RUFFIER
Franck RUFFIER
ABAndreas Brückner
Andreas Brückner
NFNicolas Franceschini
Nicolas Franceschini
In most animal species, vision is mediated by compound eyes, which offer lower resolution than vertebrate single-lens eyes, but significantly larger fields of view with negligible distortion and spherical aberration, as well as high temporal resolution in a tiny package. Compound eyes are ideally suited for fast panoramic motion perception. Engineering a miniature artificial compound eye is challenging because it requires accurate alignment of photoreceptive and optical components on a curved surface. Here, we describe a unique design method for biomimetic compound eyes featuring a panoramic, undistorted field of view in a very thin package. The design consists of three planar layers of separately produced arrays, namely, a microlens array, a neuromorphic photodetector array, and a flexible printed circuit board that are stacked, cut, and curved to produce a mechanically flexible imager. Following this method, we have prototyped and characterized an artificial compound eye bearing a hemispherical field of view with embedded and programmable low-power signal processing, high temporal resolution, and local adaptation to illumination. The prototyped artificial compound eye possesses several characteristics similar to the eye of the fruit fly Drosophila and other arthropod species. This design method opens up additional vistas for a broad range of applications in which wide field motion detection is at a premium, such as collision-free navigation of terrestrial and aerospace vehicles, and for the experimental testing of insect vision theories.

1 March 2005 in Robotics and Autonomous Systems
Verified
Journal Article
Closed access
FRFranck RUFFIER
Franck RUFFIER
NFNicolas Franceschini
Nicolas Franceschini

1 September 2017 in Arthropod Structure & Development
Verified
Journal Article
Open access
Julien R SerresJulien R Serres
Julien R Serres
FRFranck RUFFIER
Franck RUFFIER
Flying insects are able to fly smartly in an unpredictable environment. It has been found that flying insects have smart neurons inside their tiny brains that are sensitive to visual motion also called optic flow. Consequently, flying insects rely mainly on visual motion during their flight maneuvers such as: takeoff or landing, terrain following, tunnel crossing, lateral and frontal obstacle avoidance, and adjusting flight speed in a cluttered environment. Optic flow can be defined as the vector field of the apparent motion of objects, surfaces, and edges in a visual scene generated by the relative motion between an observer (an eye or a camera) and the scene. Translational optic flow is particularly interesting for short-range navigation because it depends on the ratio between (i) the relative linear speed of the visual scene with respect to the observer and (ii) the distance of the observer from obstacles in the surrounding environment without any direct measurement of either speed or distance. In flying insects, roll stabilization reflex and yaw saccades attenuate any rotation at the eye level in roll and yaw respectively (i.e. to cancel any rotational optic flow) in order to ensure pure translational optic flow between two successive saccades. Our survey focuses on feedback-loops which use the translational optic flow that insects employ for collision-free navigation. Optic flow is likely, over the next decade to be one of the most important visual cues that can explain flying insects' behaviors for short-range navigation maneuvers in complex tunnels. Conversely, the biorobotic approach can therefore help to develop innovative flight control systems for flying robots with the aim of mimicking flying insects' abilities and better understanding their flight.

1 February 2007 in Current Biology
Verified
Journal Article
Closed access
NFNicolas Franceschini
Nicolas Franceschini
FRFranck RUFFIER
Franck RUFFIER
Julien R SerresJulien R Serres
Julien R Serres

10 March 2010 in Journal of Comparative Physiology A
Verified
Journal Article
Closed access
PDF file
GPGeoffrey Portelli
Geoffrey Portelli
FRFranck RUFFIER
Franck RUFFIER
NFNicolas Franceschini
Nicolas Franceschini

22 December 2007 in Autonomous Robots
Verified
Journal Article
Closed access
PDF file
Julien R SerresJulien R Serres
Julien R Serres
DDD. Dray
D. Dray
FRFranck RUFFIER
Franck RUFFIER
NFN. Franceschini
N. Franceschini