Nicole Abaid

TL;DR: This study explores the possibility of engineering a robotic fish capable of influencing the behaviour of live zebrafish in a dichotomous preference test and finds that the robot's undulations enhance its degree of attractiveness, despite the noise inherent in the actuation system.

TL;DR: A novel gait phase detection algorithm based on a hidden Markov model, which uses data from foot-mounted single-axis gyroscopes as input, faithfully reproduces reference results in terms of high values of sensitivity and specificity with respect to FSR signals.

TL;DR: In this paper, the authors explore the motion of falling spheres in strongly stratified fluids in which the fluid transitions from low density at the top to high density at bottom and document an internal splash in which a falling sphere may reverse its direction of motion (from falling, to rising, to falling again) as it penetrates a region of strong density transition.

TL;DR: This network construction models the perceptual phenomenon of numerosity observed in animal groups exhibiting collective behavior and derives a closed form expression for the asymptotic convergence factor.

TL;DR: A bioinspired robotic fish designed to modulate the behavior of live fish is presented and it is found that matching the aspect ratio and the visual appearance of the robotic fish with the target species increases the attraction experienced by zebrafish.